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Big Data Career Options
 
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The Big Data market is growing rapidly. Let's know which big data careers are suitable for you - Hadoop Administrator or Spark Developer?
Views: 598 Whizlabs
Big data storage  Options and recommendations
 
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Hadoop clusters are often built around commodity storage, but architects now have a wide selection of Big Data storage choices, including solid-state or spinning disk for clusters and enterprise storage for compatibility layers and connectors. In this webinar, our CTO will review the storage options available to Hadoop architects and provide recommendations for each use case, including an active-active replication option that makes data available across multiple storage systems.
Views: 140 WANdisco
Raining  jobs for Big Data|| Big Data in 2017||Bigdata as career path
 
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This is the class room training video in Durga Software Solutions. Hyderabad.
How is Big Data stored and processed
 
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How is Big Data stored and processed? (2018) In a traditional approach, usually the data that is being generated out of the organizations, the financial institutions such as banks or stock markets and the hospitals is given as an input to the ETL System. An ETL System, would then Extract this data, and Transform this data, that is, it would convert this data into proper format and finally load this data onto the database. Now the end users can generate reports and perform analytics, by querying this data. But as this data grows, it becomes a very challenging task to manage and process this data, using the traditional approach, this is one of the fundamental drawbacks of using the Traditional Approach. Now let us try to understand some of the major drawbacks of using the Traditional Approach. The 1st drawback is, it an expensive system, as it requires a lot of investment for implementing, or upgrading the system, therefore it is, out of the reach of small and mid-sized companies. The 2nd drawback is, scalability. As the data grows, expanding the system is a challenging task. And the 3rd drawback is, it is time consuming, it takes lot of time to process and extract, valuable information from the data. I hope you might have understood the Traditional Approach of Storing and Processing Big Data and its associated drawbacks. Please don't forget to subscribe to our channel. https://www.youtube.com/user/itskillsindemand Enroll into this course at a deep discounted price: https://goo.gl/HsbEC8 If you like this video, please like and share it. Visit http://www.itskillsindemand.com to access the complete course. Follow Us On Facebook: https://www.facebook.com/itskillsindemand Twitter: https://twitter.com/itskillsdemand Google+: https://plus.google.com/+Itskillsindemand-com YouTube: http://www.youtube.com/user/itskillsindemand
Views: 15372 NetVersity
Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018
 
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Check out my latest Video: https://www.youtube.com/watch?v=VCrrLdxEXtA Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018. Why Big Data Analytics is the Best Career Path? Hello guys my name is Daniel and you are watching beginner tuts and in this video, we are going to talk about why big data analytics is the best career path? If you’re looking for an amazing career option in information technology and don’t know anything about this industry, then this video can help you become a big data analytics engineer. The Average salary of a big data engineer is 100,000 annually… That’s right guys. 100 grand a year. Now you must be wondering, what the heck is big data?? Big data is a term for data sets that are so large or complex that traditional data processing application software is too weak to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. The Great White is considered to be the King of the Ocean. This is because the great White is on top of its game. Imagine if you could be on top of the game in the ocean of Big Data! Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there. . Why Big Data Analytics is the Best Career move? If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 5 more reasons for you to see the big picture. 1. Soaring Demand for Analytics Professionals: Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training. The job trend graph for Big Data Analytics, from Indeed.com, proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities. The current demand for qualified data professionals is just the beginning. Srikanth, the Bangalore-based cofounder and CEO of CA headquartered Fractal Analytics states: “In the next few years, the size of the analytics market will evolve to at least one-thirds of the global IT market from the current one-tenths”. Technology professionals who are experienced in Analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. The number of job postings related to Analytics in Indeed and Dice has increased substantially over the last 12 months. Other job sites are showing similar patterns as well. This apparent surge is due to the increased number of organizations implementing Analytics and thereby looking for Analytics professionals. In a study by QuinStreet Inc., it was found that the trend of implementing Big Data Analytics is zooming and is considered to be a high priority among U.S. businesses. A majority of the organizations are in the process of implementing it or actively planning to add this feature within the next two years. 2. Huge Job Opportunities & Meeting the Skill Gap: The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018. According to Srikanth, co-founder and CEO of Fractal Analytics, there are two types of talent deficits: Data Scientists, who can perform analytics and Analytics Consultant, who can understand and use data. The talent supply for these job title, especially Data Scientists is extremely scarce and the demand is huge. 3. Salary Aspects: Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.
Views: 18959 Beginner Tuts
Big Data Storage  Options & Recommendations
 
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Hadoop clusters are often built around commodity storage, but architects now have a wide selection of Big Data storage choices. Hadoop clusters can use a mix of solid-state and spinning disk storage, while Hadoop compatibility layers and connectors can use enterprise storage systems or share storage between Hadoop and legacy applications. In this webinar, 451 Research Director Matt Aslett will review the storage options available to Hadoop architects and provide recommendations for each use case. WANdisco's Randy DeFauw will then present an active-active replication option that makes data available across multiple storage systems.
Views: 145 WANdisco
All you should know about Big Data – Hadoop,Careers,Scope,Modules,Highpaid jobs
 
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Get Recruitment Notifications of all private and govt jobs , Mock test details ,Previous year question papers only at Freshersworld.com – the No.1 jobsite for entry level candidates in India. (To register : http://freshersworld.com?src=Youtube ) – This video is all about “Careers and Training courses for Big Data There are a handful of working definitions for big data, but to me it is most simply put as data sets so large and complex that it becomes difficult or impossible to process them using traditional database management applications. Granted, the term may apply differently to different organizations. For a smaller company, facing hundreds of gigabytes of data for the first time may trigger a need to explore new tools. Other companies that generate tons of transactional data, like UPS, wouldn't flinch with their existing toolsets until they hit tens or hundreds of terabytes. For freshers who wants to start learning big data here are a few tips: 1. Begin with the basics: If you are looking at building a career in big data, you can start with developing the core aptitudes such as curiosity, agility, statistical fluency, research, scientific rigor and skeptical nature. You have to decide which facet of data investigation (data wrangling, management, exploratory analysis, prediction) are you looking at acquiring. The first step to learning big data is to develop basic level of familiarity with programming languages. 2. Experience in programming languages: Begin with developing basic data literacy and an analytic mindset by building knowledge of programming languages such as Java, C++, Pig Latin and HiveQL. Figure out where you want to apply your data analytics skills to describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations. 3. Expertise in Hadoop: Developing knowledge about Hadoop Map-Reduce and Java is essential if you’re looking to be a high-performance data software engineer. 4. What are you looking for? If you are looking for a career switch to big data, begin with developing the skill sets required to work with Hadoop. A well-rounded understanding of Hadoop requires experience in large-scale distributed systems and knowledge of programming languages. 5. Data Analytics Skills: If you want to learn the fundamentals and want to get an indepth understanding of every aspect of Big Data, the resource material provided by Apache’s library is very useful. The Hadoop programme offered by Apache is an open-source software for reliable, scalable, distributed computing. Some of the other programmes offered are HBase Hive, Mahout, Pig ZooKeeper. 6. Online Courses: The big data universe is still very young, to get a well rounded expertise in big data it is important to learn and hone skills related to the subject. Decide on the course based on the skill set you're looking to get. Just by dedicating some time and energy, you can tackle learning big data with these free online classes. Applications of Big Data Big data includes problems that involve such large data sets and solutions that require a complex connecting the dots. You can see such things everywhere. 1. Quora and Facebook use Big data tools to understand more about you and provide you with a feed that you in theory should find it interesting. The fact that the feed is not interesting should show how hard the problem is. 2. Credit card companies analyze millions of transactions to find patterns of fraud. 3. There are similar problems in defense, retail, genomics, pharma, healthcare that requires a solution. The companies offering jobs on Big Data are : Qualcomm India Pvt Ltd, Accenture, Dev Solutions So let us summarize as Big Data is a group of problems and technologies related to the availability of extremely large volumes of data that businesses want to connect and understand. The reason why the sector is hot now is that the data and tools have reached a critical mass. This occurred in parallel with years of education effort that has convinced organizations that they must do something with their data treasure. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube Download our app today to manage recruitment when ever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Big Data Analytics Using Python | Python Big Data Tutorial | Python And Big Data | Simplilearn
 
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This Big Data Analytics using Python tutorial will explain what is Data Science, roles and responsibilities of a Data scientist, various applications of Data Science, how Data Science and Big Data work together and how andwhy Data Science if gaining importance. Every sector of business is being transformed by the modern deluge of data. This spells doom for some, and creates massive opportunity for others. Those who thrive in this environment will do so only by quickly converting data into meaningful business insights and competitive advantage. Business analysts and data scientists need to wield agile tools, instead of being enslaved by legacy information architectures. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=BigData-Python-cUw3DsDpQCE&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Data Science, check our Integrated Big Data and Data Science Certification Training Course: https://www.simplilearn.com/integrated-program-in-big-data-and-data-science?utm_campaign=BigData-Python-cUw3DsDpQCE&utm_medium=Tutorials&utm_source=youtube - - - - - - - - What are the course objectives of this Big Data and Data Science Course? Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using , the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau. - - - - - - - - Why should you take this Big Data and Data Science Course? As an expert in this field, you will need to have a working knowledge of the three key pillars in the analytics ecosystem: data management, data science and reporting and visualization. This master’s program will hone your skills in: Big Data: Big data management is the ability to store and process voluminous amounts of unstructured data. Today with the overflow of online information, most companies are adopting big data practices to manage these huge volumes. Hadoop provides the distributed file system for storage, and MapReduce programming in Java is used for the processing. In the analytics lifecycle, it is critical to be able to store and query data to feed the necessary algorithms. Data Science: Data Science algorithms use data to create insights. Once you have an effective way to crunch data, you can use historical data for descriptive and predictive analytics. This is done using a programming language like R or Python, which utilize libraries for statistical analysis. Learning these languages are important to be able to design custom models for analytics, a key expectation for any data scientist. These skills range from basic probability to advanced machine learning. Reporting and Visualization: Once you have insights into data, it is important to make the insights available to the organization using visualization and reporting. This program also includes a number of electives to ensure you get broad knowledge of the entire ecosystem and complementary skills in these fields. The two-year period ensures you have enough time to ramp up, develop skills and apply them in real world scenarios. - - - - - - - - - Who can take this Big Data and Data Science Course? Many roles can benefit from this program and pursue new career opportunities with high salaries, including: 1. Software developers and testers 2. Software architects 3. Analytics professionals 4. Business analysts 5. Data analysts 6. Data management professionals 7. Data warehouse professionals 8. Project managers 9. Mainframe professionals 10. Graduates aspiring to build a career in analytics - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 12138 Simplilearn
The Evolution and Future of BigData Ecosystem | DataEngConf SF '18
 
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Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Download Slides: https://dataeng.co/2sfhYni ABOUT THE TALK: Over the past ten years the Big Data infrastructure has evolved from flat files lying down in a distributed file system to a more efficient ecosystem and is turning into a fully deconstructed database. With Hadoop, we started from a system that was good at looking for a needle in a haystack using snowplows. We had a lot of horsepower and scalability but lacked the subtlety and efficiency of relational databases. Since Hadoop provided the ultimate flexibility compared to the more constrained and rigid RDBMSes we didn’t mind and plowed through with confidence. Machine Learning, Recommendations, Matching, Abuse detection and in general data driven products require a more flexible infrastructure. Over time we started applying everything that had been known to the Database world for decades to this new environment. They told us loud enough how Hadoop was a huge step backwards. And they were right in some way. The key difference was the flexibility of it all. There are many highly integrated components in a relational database and decoupling them took some time. Today we see the emergence of key components (optimizer, columnar storage, in-memory representation, table abstraction, batch and streaming execution) as standards that provide the glue between the options available to process, analyze and learn from our data. We’ve been deconstructing the tightly integrated Relational database into flexible reusable open source components. Storage, compute, multi-tenancy, batch or streaming execution are all decoupled and can be modified independently to fit every use case. This talk will go over key open source components of the Big Data ecosystem (including Apache Calcite, Parquet, Arrow, Avro, Kafka, Batch and Streaming systems) and will describe how they all relate to each other and make our Big Data ecosystem more of a database and less of a file system. Parquet is the columnar data layout to optimize data at rest for querying. Arrow is the in-memory representation for maximum throughput execution and overhead-free data exchange. Calcite is the optimizer to make the most of our infrastructure capabilities. We’ll discuss the emerging components that are still missing or haven’t become standard yet to fully materialize the transformation to an extremely flexible database that lets you innovate with your data. ABOUT THE SPEAKER: Julien Le Dem is the coauthor of Apache Parquet and the PMC chair of the project. He is also a committer and PMC Member on Apache Pig, Apache Arrow and a few others. Julien is a Principal Engineer at WeWork and was previously Architect at Dremio and tech lead for Twitter’s data processing tools, where he also obtained a two-character Twitter handle (@J_). Prior to Twitter, Julien was a principal engineer and tech lead working on content platforms at Yahoo, where he received his Hadoop initiation. His French accent makes his talks particularly attractive. Follow DataEngConf on: Twitter: https://twitter.com/dataengconf LinkedIn: https://www.linkedin.com/company/hakkalabs Facebook: https://web.facebook.com/hakkalabs
Views: 626 Hakka Labs
Big Data Analytics: OII MSc Methods Option Course
 
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Big data, the real time streams of transactional records of our daily activities, hold major promise for (computational) social science. However, to be able to collect, clean, analyse, model, and interpret these data, a high level of technical skills is required. In many cases the analytical techniques can be adopted from natural sciences, and in others, have to be invented within the framework of “Data Science” in order to “make sense” of the data under study. In this methods option course for the OII MSc in “Social Science of the Internet” some of these techniques are introduced and applied to real world datasets. The main focus of the course however is not on data collection and data cleaning but the statistical analysis, manipulating, and making sense of the already prepared data. More about the MSc in Social Science of the Internet: https://www.oii.ox.ac.uk/study/msc/
Big data analysis Option Value for IC Testing : Option Value Description
 
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SANDIN TECHNOLOGY CO,.LTD. 炫鼎科技 Tel:886-3-5316996
Views: 32 陳威瑀
Why Big Data is my Career Option ? My Inspirations
 
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This is the starting video of my video podcast for bid data technologies which talks about why I choose big data as my career option. It also talks about the top companies and the big data technologies used in their companies.
Task processing, APIs, Big Data & JavaScript
 
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There's tons of options for doing data processing in other languages like Java and Python. With actionhero.js, you can use Nodejs's event loop model to create a scalable and cohesive API for processing and serving large amount of data. From the actionhero.js documentation, here's a quick synopsis of this great framework: “actionhero.js is a multi-transport API Server with integrated cluster capabilities and delayed tasks. The goal of actionhero is to create an easy-to-use toolkit for making reusable & scalable APIs.” In this session, we'll use actionhero.js to build some examples, with lots of code, to demonstrate the capabilities of this framework. We'll consume some data, do some task processing, then access the data via an API. We'll use Websockets along with standard HTTP to build a real-time, web-enabled, application. EVENT: Øredev 2017 SPEAKER: Pratik Patel PERMISSIONS: Øredev Conference Organizer provided Coding Tech with the permission to republish this video.
Views: 4133 Coding Tech
Big Data for Training Models in the Cloud (AI Adventures)
 
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What do you do when your data is too big to fit on your machine? In this episode of Cloud AI Adventures, Yufeng walks through some of the options and rationale for putting your big data in the cloud. Associated Medium post "Big Data for Training Models in the Cloud": https://goo.gl/XYL9uV Google Cloud Storage: https://goo.gl/MbeKRy gsutil: https://goo.gl/6v9Tac Google Transfer Appliance: https://goo.gl/cfZynF Data transfer guide: https://goo.gl/m37jQN Cloud machine learning: https://goo.gl/Ds9q2F Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 12070 Google Cloud Platform
"Big Data Revolution" - PBS Documentary
 
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Big Data. This massive gathering and analyzing of data in real time is allowing us to not only address some of humanity biggest challenges but is also helping create a new kind of planetary nervous system. Yet as Edward Snowden and the release of the Prism documents have shown, the accessibility of all these data comes at a steep price. This documentary captures the promise and peril of this extraordinary knowledge revolution - Big Data Revolution. THIS IS A COPY OF ORIGINAL VIDEOCLIP THAT CAN BE FOUND HERE: https://www.youtube.com/watch?v=ahNdJdf867A
Views: 75657 Bitcoin TV
Big Data Hadoop Administration Training | Big Data Hadoop Certification Training | Simplilearn
 
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This Big Data Administration Training video will give and overview on the concepts covered in Simpilearn Big Data Administrator Certification Training Course. Some of the compeoents covered are Big Data and hadoop ecosystem, advanced cluster configuration features, Hadoop distributed file system, Mapreduce, YARN along with important Hadoop compenents and ecosystem components. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Big-Data-and-Hadoop-Administrator-certification-Course-32Dbs8yjK2Q&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop Administrator Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-administrator-certification-training?utm_campaign=Big-Data-and-Hadoop-Administrator-certification-Course-32Dbs8yjK2Q&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - What are the objectives of this course Big Data Hadoop Administrator Course? The Simplilearn Big Data and Hadoop Administrator course will equip you with all the skills you’ll need for your next Big Data admin assignment. You will learn to work with Hadoop’s Distributed File System, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera. You will learn the need for cluster management solutions and how to set up, secure, safeguard and monitor clusters and their components such as Sqoop, Flume, Pig, Hive and Impala with this Big Data Hadoop Admin course. - - - - - - - - What skills will you learn from this BigData Hadoop Administrator Course? After completing this Hadoop Admin course, you will be able to: 1. Understand the fundamentals and characteristics of Big Data and various scalability options available to help organizations manage Big Data 2. Master the concepts of the Hadoop framework, including architecture, the Hadoop distributed file system and deployment of Hadoop clusters using core or vendor specific distributions 3. Use Cloudera manager for setup, deployment, maintenance and monitoring of Hadoop clusters 4. Understand Hadoop Administration activities and computational frameworks for processing Big Data 5. Work with Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster 6. Use cluster planning and tools for data ingestion into Hadoop clusters, and cluster monitoring activities 7. Utilize Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka 8. Understand security implementation to secure data and clusters. - - - - - - - - - Who should take up this Big Data Administrator Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Systems administrators and IT managers 2. IT administrators and operators 3. IT Systems Engineers 4. Data Engineers and database administrators 5. Data Analytics Administrators 6. Cloud Systems Administrators 7. Web Engineers 8. Individuals who intend to design, deploy and maintain Hadoop clusters - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 6465 Simplilearn
Analyzing Big Data with Twitter - Lecture 1 - Intro to course; Twitter basics
 
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http://blogs.ischool.berkeley.edu/i290-abdt-s12/ Course: Information 290. Analyzing Big Data with Twitter School of Information UC Berkeley Lecture 1: August 23, 2012 Course description: How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered. This is a hands-on project course in which students are expected to form teams to complete intensive programming and analytics projects using the real-world example of Twitter data and code bases. Engineers from Twitter will help advise student projects, and students will have the option of presenting their final project presentations to an audience of engineers at the headquarters of Twitter in San Francisco (in addition to on campus). Project topics include building on existing infrastructure tools, building Twitter apps, and analyzing Twitter data. Access to data will be provided.
Big Data Storage Options for Hadoop
 
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Sam Fineberg, Distinguished Technologist, Hewlett-Packard Company Abstract Companies are generating more and more information today, filling an ever growing collection of storage devices. The information may be about customers, web sites, security, or company logistics. As this information grows, so does the need for businesses to sift through the information for insights that will lead to increased sales, better security, lower costs, etc. The Hadoop system was developed to enable the transformation and analysis of vast amounts of structured and unstructured information. It does this by implementing an algorithm called MapReduce across compute clusters that may consist of hundreds or even thousands of nodes. In this presentation Hadoop will be looked at from a storage perspective. The presentation will describe the key aspects of Hadoop storage, the built-in Hadoop file system (HDFS), and other options for Hadoop storage in the datacenter and the cloud.
Views: 307 Libing Chen
Big Data in Society: OII MSc Option Course
 
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‘Big data’ is increasingly being touted as the next big breakthrough in research, business, and government. This option course for the OII MSc in "Social Science of the Internet" moves beyond the hype to critically examine the unprecedented opportunities and serious challenges inherent in big data approaches to advancing knowledge. We start by defining ‘data’ and introducing the social implications of big data research. We then undertake an in depth survey of the empirical literature where big data has been used to address previously unanswerable questions, focusing in particular on social media such as Twitter, mobile phone data and collaboration platforms like Wikipedia. We also compare the approaches taken in a number of different disciplines including economics, literature, and development studies. Finally, we examine the methods used, claims made, and limitations of various approaches in terms of their representativeness and reliability. More about the MSc in Social Science of the Internet: http://www.oii.ox.ac.uk/graduatestudy/msc/
BIG Data Analytics explained | HADOOP  | SALARY | JOB | DESIGNATION |  hindi
 
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This video Explains Big Data Analytics And Hadoop overview with simplified example. Please watch the complete video for big data jobs , salary, designation details, Big Data Analytics And Hadoop overview . Apache Hadoop : http://hadoop.apache.org/releases.html#Download Apache Hive : https://hive.apache.org/downloads.html Apache pig https://hive.apache.org/downloads.html Please like ,subscribe, comment and share this video. -~-~~-~~~-~~-~- Please watch: "computer science engineering career options and future scope in hindi" https://www.youtube.com/watch?v=O3mM19xbgwM -~-~~-~~~-~~-~-
Views: 1164 IT BuzZ
Big data storage  options & recommendations
 
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Hadoop clusters are often built around commodity storage, but architects now have a wide selection of Big Data storage choices, including solid-state or spinning disk for clusters and enterprise storage for compatibility layers and connectors. In this webinar, our experts will review the storage options available to Hadoop architects and provide recommendations for each use case, including an active-active replication option that makes data available across multiple storage systems.
Views: 68 WANdisco
Why Big Data is in Demand | Big Data Career Path | Why Big Data is Booming All Around
 
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Why Big Data is in Demand | Big Data Career Path | Why Big Data is Booming All Around https://acadgild.com/big-data/big-data-development-training-certification?aff_id=6003&source=youtube&account=jA06rJvn8Z8&campaign=youtube_channel&utm_source=youtube&utm_medium=why-BD-in-demand&utm_campaign=youtube_channel Hello and welcome back to big data tutorials conducted by Acadgild. In this video, you will be able to learn Why big data is in demand across the world with regardless of the industry. There is a buzz all around that, in near future, Artificial Intelligence will take over our jobs. This video will let you know that which country has potential to have all automated systems. • The McKinsey Global Institute predicts that by 2036, 95% of the jobs will get automated to a degree of at least 30% which will use big data and its allied technology • Businesses will adopt new age automation technologies in big data, artificial intelligence, and machine learning to reduce errors, improve quality and speed and productivity • India comes second to Japan in terms of job automation potential pegged at 52% Automation Potential: Japan – 55% India – 52% China – 51% United States – 46% Europe – 46% Rest of world – 50% Go through the complete video and learn more about why big data is in demand and why should we have to become a Big Data Developer. Please Subscribe the channel for more updates on the technical skills also like and share our videos. #bigdata, #Hadoop, #DataScience, #Career For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 711 ACADGILD
Storage Options for Big Data Solutions in Azure
 
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In this webinar, we will compare the various Big Data storage options available in Microsoft Azure to help you choose the right one for your Big Data solution. Learn more about Opsgility at: https://www.opsgility.com/
Views: 92 Opsgility
Big Data Analytics with HDInsight: Hadoop on Azure
 
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Aiodex’s Referral Program  will give you 20% -80% commission from their transaction fee for 7 years. The value will be calculated starting from the date the member you invite sign up. ☞ https://aiodex.com/?ref=5b45a599c7165734d36bb3fc Learn to Code ☞ https://codequs.com CodeGeek Discuss ☞ https://discord.gg/KAe3AnN Playlists Video Tutorial ☞ http://bit.ly/2IQdTwR Get Free 15 Geek ☞ https://my.geekcash.io/ref/5b3c4924d38b6158ce04633f or http://geekcash.org/ The Ultimate Hands-On Hadoop - Tame your Big Data! ☞ http://deal.codetrick.net/p/SJ0_BYGKZ Apache Spark 2.0 with Scala - Hands On with Big Data! ☞ http://deal.codetrick.net/p/B1MIbtMK- Taming Big Data with Apache Spark and Python - Hands On! ☞ http://deal.codetrick.net/p/SkvnpBSXx Spark and Python for Big Data with PySpark ☞ http://deal.codetrick.net/p/Sk-YpaVYyb Elasticsearch 5 and Elastic Stack - In Depth and Hands On! ☞ http://deal.codetrick.net/p/BJHxJRkYzFZ Apache Spark with Scala - Learn Spark from a Big Data Guru ☞ http://deal.codetrick.net/p/rJfZjdrR- Would you like to make sense of the volumes of data, and to use that data to streamline your workload? You can visualize your data and make it work for you. Find out how with leading experts on big data analytics with Hadoop and Microsoft Azure HDInsight. HDInsight is a managed service deployment of Hadoop, which makes it easier to query, ingest, and publish data and to create workflows. Get insight into Hadoop fundamentals and dev tools like Hive, Pig, and Sqoop, and see how to use them on HDInsight. Leave our HDInsight and Azure training session with a greater understanding of the Hadoop ecosystem and with tips and tricks to get your Hadoop analytics started right away. Instructors | Nishant Thacker - Product Marketing Manager, Microsoft; Matt Winkler - Principal Program Manager, Microsoft; Ashit Gosalia - Principal Software Engineer Manager, Microsoft; Asad Khan - Principal Lead Manager, Microsoft; Adnan Ijaz - Senior Program Manager, Microsoft Microsoft Big Data Fundamentals Get an introduction to the structure of this Hadoop big data training course, including Microsoft’s play in the Hadoop ecosystem. Hear why we need big data and how it helps the overall solutions. HDInsight Makes Hadoop Easy Explore the various enhancements Microsoft Azure HDInsight brings to the table so that developers and businesses can make the most of their existing skill sets and work with Hadoop. Take a look at the various interfaces, Visual Studio templates, and the customization options in HDInsight. Hive and Tez: Querying Big Data Get an in-depth look at one of the most important workloads on HDInsight (and maybe even on Hadoop): Hive. See what it achieves, how queries are processed, and how it is similar to the T-SQL environment, plus find out about recent enhancements with the Tez engine. Pig, Sqoop, Oozie, and Mahout Take a look at these common tools which are familiar to Hadoop Developers. See how they sit proficiently in HDInsight, and hear about the many ways that developers can use them within the Microsoft ecosystem. A New Paradigm Explore the ever-growing NoSQL capabilities in the Hadoop environment. See what HBase is, which canonical scenarios it can be used for, and how it sits as part of HDInsight. Storm Essentials Knowing that streaming is becoming essential, as more and more solutions have started demanding real-time capabilities, and find out how Storm caters to this requirement in the Hadoop environment. Get the details on Storm and how HDInsight is made so simple and seamless that it becomes almost intuitive for solutions and embedding real-time capabilities within them. Learn Microsoft Big Data Fundamentals HDInsight Makes Hadoop Easy Hive and Tez: Querying Big Data Pig, Sqoop, Oozie, and Mahout A New Paradigm Storm Essentials Recommended Resources & Next Steps Video source via: MVA ---------------------------------------------------- Website: https://goo.gl/XnM72d Website: https://goo.gl/AWpXfC Playlist: https://goo.gl/cknV8C Fanpage: https://goo.gl/kMBCFs Twitter: https://goo.gl/pNw922 Wordpress: https://goo.gl/qAJxMe Pinterest: https://goo.gl/GrRx7B Tumblr: https://goo.gl/6fTauh
Views: 5568 Big Data Training
Excel 2013 Data Analytics Webinar: How to Structure and Analyze large data with Power BI tools
 
01:02:47
In this 1 hour Webinar, Dr. Nitin Paranjape (Office MVP) will show you how to structure and analyze large amount of data in just a few seconds using Excel 2013's Power BI features: Pivot Table, Power Pivot, Power Query and Power View. Topics covered: - Purpose of data analysis (2:30) - Data Analysis process (4:06) - Good data vs Bad data (5:34) - Rules for Good data (9:05) - Common Examples of badly formatted data (10:41) - How to handle cross-tab data with Power Query (14:44) - Gather data from the web with (18:57) - Power Query's Data Catalogue Search (20:00) - Split Column by Delimiter (20:05) - Refresh live data in Power Query (23:20) - Summarize Data in Pivot Tables (24:26) - Do Calculation right inside Pivot Tables with Calculated Fields (27:33) - Avoid Wrong calculations with Get Pivot Data (29:10) - Data Visualization with Conditional Formatting & Quick Analysis (31:12) - Limitations of Pivot Table (34:38) - Why use Power Pivot (35:19) - Analyze 43 million rows of data within Power Pivot (36:40) - Build interactive dashboards with Power View (41:42) - Share Power View reports on Sharepoint (47:15) - Manage viewing rights with Excel's Browser View option - Create 3D map reports in Power Map (49:38) - Power BI Preview (55:20) - Summary: Which tool to use in which scenario? (59:03) - Notes to Developers (59:17) This is a recording of the Data Analytics Webinar for Microsoft, powered by Economic Times. The webinar was conducted by Dr. Nitin Paranjape, Office MVP and Microsoft Regional Director.
Views: 13100 Efficiency 365
Python Options in Hadoop
 
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Big Data Big Questions: What the options for developers in the Hadoop ecosystem with Python? In Hadoop Java always seems to the the go to factor for Hadoop development but there are options for Python and Scala developers. I'll answer a viewers questions today about how to get started in the Hadoop ecosystem with Python skills.
Views: 1153 Thomas Henson
Top 5 Career Options in 2018 with High Salaries - 5 Top Trending Career Options in 2018
 
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Check out my latest Video: https://www.youtube.com/watch?v=VCrrLdxEXtA TOP 5 CAREER OPTIONS IN 2018 WITH HIGH SALARIES Book Link here: http://amzn.to/2DFALyS Article Link: https://beginnertuts.net/top-5-career-options-in-2018-with-high-salaries/ Career means an occupation undertaken for a substantial period of one’s life and with opportunities for growth. It is a representational journey through learning, work and other aspects of life that helps in the occupation undertaken. Now how chose the best career option for one’s self?!? To choose an occupation as a career, your personality plays a vital role. Always choose a career that suits your personality and your ambitions the best. Down below are few points that will help you in identifying which occupation or career path to choose. Then we will look in Top 5 career option in 2018 or Top career options in US and world around. 1. DEVOPS ENGINEER DevOps Engineer is an IT professional who works along with software developers and system operations to create automation for a different process. Automating different task helps companies in completing their task quicker and hence profits increases. That is why many companies are moving towards automating different processes and that increases the demand for DevOps Engineers and their average annual salary is $99,000. 2. ANALYTICAL MANAGER As the market is getting bigger, more data is being collected. It is the task of the Analytical manager to collect this raw data from multiple sources (customer feedback, operations, IT) and crack it into a valuable business insight so that companies have a better overview of the industry. The annual salary of these managers averages about $113,000. They also develop a strategy for data analysis; relate industry knowledge to improve performance. 3. DATA SCIENTIST Again it is a computer science career, in which you also have to be a part mathematician and a part trend spotter. This career was not on the radar a decade ago, but as big data begin to grow the need for Data Scientist has also increased. Data is no longer IT’s job to handle but it has become the key factor to convert ideas into new ways to make a profit. Its basic purpose is to unearth the data that is required for business insight and analysis. Data Scientists earns averagely at $120,000 annually. 4. STRATEGY MANAGER They have the highest average per annum of $ 135,000. Their main task to help companies grows by developing strategies which have minimum risk factor involved. They help the company achieve this aim by assessing company goals and work with company’s executives to develop an action plan to accomplish the said targets. Read full article here: https://beginnertuts.net/top-5-career-options-in-2018-with-high-salaries/
Views: 5185 Beginner Tuts
Task Processing, APIs, and Big Data in JavaScript
 
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https://developer.oracle.com/code/online | Pratik Patel: There are tons of options for doing data processing in other languages such as Java and Python. With actionhero.js, you can use Node.js's event loop model to create a scalable and cohesive API for processing and serving large amounts of data. From the actionhero.js documentation, here's a quick synopsis of this great framework: actionhero.js is a multi-transport API server with integrated cluster capabilities and delayed tasks. The goal of actionhero.js is to create an easy-to-use toolkit for making reusable and scalable APIs. In this session, we'll use actionhero.js to build some examples, with lots of code, to demonstrate the capabilities of this framework. We'll consume some data, do some task processing, then access the data via an API. We'll use WebSockets along with standard HTTP to build a real-time, web-enabled, application.
Views: 367 Oracle Developers
AWS re:Invent 2017: Big Data Architectural Patterns and Best Practices on AWS (ABD201)
 
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In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Views: 26519 Amazon Web Services
How to Architect a Big Data Application to Unleash its Full Potential
 
01:01:57
Big Data Solutions are required in organization that are wanting to manage their data. And for that they have to implement Big Data architecture. In this webinar, we will discuss how to take the maximum value from your Big Data/ Hadoop implementation at the enterprise level. We will explore commonly prevailing architecture, patterns, and various tools/options available in the big data space. For more recorded webinars, please visit: http://www.osscube.in/about-osscube/videos
Views: 6872 OSSCubeIndia
Understanding Big Data Using System Dynamics and XMILE
 
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This webinar provides information on OASIS XML Interchange Language (XMILE) for System Dynamics. The standard will enable organizations to generate complex cause and effect models for Big Data Analytics. XMILE has the potential to revolutionize the way organizations consume Big Data, analyze options, and evaluate decisions. Speakers include Steve Adler, IBM Information Strategist, and Karim Chichakly, isee systems Chief Architect. This recording was made 24 June 2013.
Views: 1800 OASIS Open Standards
Week 5 Unit 2: Handling Big Data with New Data Provisioning Options into SAP BW
 
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SAP Business Warehouse powered by SAP HANA Upload by Mohamed Elbagoury (Sr.ERP Consultant & Certified Trainer ) www.facebook.com/Elbagoury www.youtube.com/c/Elbagoury
Views: 100 Mohamed Elbagoury
CSCI E63: Event Streaming Processing Options for Big Data
 
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Final project for E-63 Spring 2015. Gives summary data on Apache Storm, Apache Spark Streaming and Amazon Kinesis
Views: 23 Anne Racel
Big Data: GeoEvent & GeoAnalytics, Leveraging the Spatiotemporal Big Data Store
 
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At ArcGIS 10.5, both GeoEvent and GeoAnalytics work with real-time and big data through the spatiotemporal option of the ArcGIS Data Store. Real-time observational data can come from moving objects, changing attributes of stationary sensors, or both. The spatiotemporal big data store enables the archival of observation data, sustains high-velocity write throughput, and runs across multiple nodes to enable high-volume storage. Additionally, GeoAnalytics Server now leverages the spatiotemporal big data store both as a data source and to store the results of big data analytics. This session will walk through how to configure your ArcGIS Data Store, write high-velocity data to it, visualize and query high-volume data via map and feature services, and use it for the input or results of distributed analytics. Presented by Adam Mollenkopf and Ricardo Trujillo
Views: 3508 Esri Events
Hortonworks Predictive Analytics and Big Data in the Insurance Industry with HDP and HDF
 
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Hortonworks' connected data platforms enable companies to use big data in the insurance industry by leveraging and analyzing data in real-time, leading to actionable insights that are used to mitigate risks to prevent disasters. The internet of everything has also caused customers to demand fewer human interactions, options for usage based products and a seamless digital experience. Hortonworks Data Platform (HDP) and DataFlow (HDF) big data predictive analytics solutions help insurance companies leverage different forms of structured and unstructured mission-critical data to mine analytical insights necessary to identify fraud, opportunities for subrogation or cross-sell additional products. To learn more about how insurance companies partner with Hortonworks, visit: https://hortonworks.com/solutions/insurance/
Views: 1359 Hortonworks
IC Testing Bigdata Analysis option Value : logical analyzer Snaturn IC Tester Special Function -1
 
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SANDIN TECHNOLOGY CO,.LTD. 炫鼎科技 Tel:886-3-5316996
Views: 85 陳威瑀
BigData ||  Hadoop - Big Data Introduction -Session - 1
 
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DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS , ADF, INFORMATICA, Tableau,SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
EN - ESCP Europe - Master in Big Data and Business Analytics
 
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Find the REPLAY & THE ANALYSIS by Campus-Channel for this program here: http://www.campus-channel.com/fr/escp-europe-master-in-big-data-and-business-analytics.html GUESTS: Wei ZHOU - Directeur Scientifique Marion LEPARMENTIER - Directrice des Mastères Spécialisées QUESTIONS: 00:17 The Pitch 01:47 Do we have the option to study on both the Paris and Berlin campus or do we complete the program at one location? 04:26 Hello, what should be the level of my programming language? Will I be admitted without any programming knowledge? 06:30 The international seminar in China is obligatory? It is included in the tuition? 09:28 What are the major leading companies with which you have strong partnerships? Does it mean that we will have the opportunity to do real business cases with those companies? 11:52 Will there be any competency test regarding our knowledge of the different business analytics tools or is it just a personality interview? 15:27 Three Words Max 16:51 What would be the projected starting salary with this degree? 18:17 I understand students of all backgrounds are welcome to apply. But do you think this program is more fit for students of statistics/math/CS background or more fit for students with a business degree? 19:54 May I know what we should expect for the interview? What are the important qualities you look for in candidates? 21:55 How many students are enrolled in the program, or will be allowed to enroll next year? 22:48 Do students still need to take the English test if they have been studying in English for the whole duration of their bachelor (non English speaking country)? If no, can they submit their English test after sending the application? 24:49 Does the program have any affiliation with SAS and / or IBM. Have these organizations designed any course topic, and do students after completion of program receive any certifications from these organizations? 27:46 How much prior work experience is required? For example I am still doing my bachelor degree and have completed a 6-month internship in marketing analytics, is this sufficient (with excellent motivation)? 29:00 The Expert Question 29:13 The Expert Question: One of the primary uses for big data analytics by businesses is of course for marketing and to increase sales. But what other ways can we use big data in business that are not profits oriented, and what trends do you see for big data in the future? 32:55 Can an American student find a job in France upon completion of the program? 34:10 I want to participate in your program as a 37-year old American student. Are there be any scholarships available to pay tuition (the fee is quite high). I have a BBA and have worked as a high school science teacher for nine years. 35:20 Is the internship obligatory to complete the program? (for those with experience who want to start working). 37:30 There is something else payable to the school apart from the tuition? Does the school help the students to find accommodation near the different campuses? 38:57 Conclusion
Views: 3881 Campus-Channel
Rethinking Big Data Analytics with Google Cloud (Cloud Next '18)
 
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In this session, we'll discuss Google Cloud’s vision and engineering strategy that can help you move big data analytics solutions to the next level of benefits. Google Cloud Platform combines powerful serverless solutions for enterprise data warehousing, streaming analytics, managed Spark and Hadoop, modern BI, planet-scale data lake, and AI. We'll share how our customers are seamlessly integrating GCP services to innovative big data solutions, explain new partner solutions that are making it easy for you to capture value from big data, and demonstrate new solutions and product capabilities. SPTL108 Event schedule → http://g.co/next18 Watch more Spotlight sessions here → http://bit.ly/2Lby9sW Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 3425 Google Cloud Platform
Introduction to big data: tools that deliver deep insights (Google Cloud Next '17)
 
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In this video, William Vambenepe explains some big data basics and provide a survey-level introduction to Google Cloud's big data tools, including Google BigQuery, Cloud Dataproc, Cloud DataLab and Cloud Dataflow. You'll learn how to harness the power of big data with these tools, so that you can turn insights into strategies for your own organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Views: 6360 Google Cloud Platform
TEDxUofM - Jameson Toole - Big Data for Tomorrow
 
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TEDxUofM took place April 8th, 2011 at the historic Michigan Theater on the campus of the University of Michigan, Ann Arbor. Jameson Toole -- University of Michigan 2010, Jameson Toole is a PhD in MIT's Engineering Systems Division with the support of a National Science Foundation Graduate Research Fellowship. His research focuses on using large behavioral data sets generated from the web (Twitter, Facebook, Google, etc.), cell phones, or any other means, to find emergent patterns in human behavior and dynamics. Toole completed his undergraduate degrees at the University of Michigan majoring in Physics, Mathematical Physics, and Economics. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
Views: 43971 TEDx Talks
Scaling Analytics with Big Data
 
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This video shows how to make your current KNIME workflow more scalable for more future data using Spark and Big Data Platforms. The cool feature of the KNIME Big Data Extension is that the nodes that run the functions on Spark have the same GUI as the nodes that run the same functions on KNIME. You do not need to learn anything new! The first part of the original workflow, running on KNIME Analytics Platform and implementing advanced ETL procedures, is shown in this other video "Advanced ETL Functionalities and Machine Learning Pre-processing" https://youtu.be/IEAsUTN8q68
Views: 3012 KNIMETV
Wharton People Analytics Conference 2017: Big Data and Beyond
 
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Matthew Salganik is Professor of Sociology at Princeton University. Keith McNulty has worked for over a decade in I/O Psychology, Psychometrics and People Analytics.  He is currently Head of People Analytics at McKinsey & Company. Moderated by Peter S. Fader, Frances and Pei-Yuan Chia professor of Marketing, The Wharton School.
Views: 954 Wharton School
BIOINFORMATICS: Decoding big data
 
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In a collaborative internship program with the University of Oregon aimed at producing highly trained bioinformaticians, four master’s level students have spent the better part of a year embedded in Stowers labs learning and refining biological, statistical, and computational skills and applying them to biological questions posed by our scientists.
Demo: The Customer Experience With Oracle's Big Data Analytics Solution
 
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See how an urban bike share program can use data to transform the customer experience. With Oracle Big Data Analytics and Oracle Analytics Cloud, you can blend data from multiple sources and analyze bike utilization with self-service visualization. Use machine learning in the data lake to uncover hidden data patterns to optimize bike distribution and anticipate customer needs.
Views: 1160 Oracle Big Data
Business Analytics vs Big Data Technology | Careers in Analytics -Hari Krishnan Nair -Great Learning
 
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#BusinessAnalytics | Great opportunities are waiting for you in business analytics. Adopt the best options of careers in Analytics by learning more from Great Learning – a reliable channel for you to bring to you updated videos on Business Analytics Vs. Big Data Technology. Watch our updated videos to learn and know about big opportunities in Business analytics and potential. Great Learning has been uploading video regularly to help you in learning more. Subscribe our channel and press bell icon to get access to updated videos on Business analytics Vs Big Data Technology. Watch the webinar to understand if Business Analytics or Big Data Technologies would be the right career path for you. Also, learn how you should go about building your career in Data Science - one of the most promising fields today with several job opportunities, high paying roles; and faster career growth. #BigData #CareersInAnalytics #GreatLearning #GreatLakes Learn More about our analytics programs: PGP-Business Analytics: https://goo.gl/ceX3cB PGP-Big Data Analytics: https://goo.gl/d5x2Ag About the Speaker Hari Krishnan Nair is Co-Founder at Great Learning and has been involved with analytics education for the past 5 years. He is passionate and driven by the challenge of scaling up quality education using technology to empower individuals, thereby creating an indelible impact in their lives. About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/
Views: 466 Great Learning
AWS Certified Big Data - Specialty Course
 
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Link to the course: https://acloud.guru/learn/aws-certified-big-data-specialty Master this AWS Big Data Specialty Certification, and join an exclusive club of in-demand AWS Big Data certified professionals!
Views: 5687 A Cloud Guru
MixedEmotions Big Data Emotion Analysis Platform - Technical Webinar
 
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The MixedEmotions platform is a big data platform for recognition of emotion and other subjective features from multiple content modalities. The platform includes modules for emotion recognition in text, audio and video, for entity recognition and linking, for social media data collection and social network analysis as well as an orchestrator for building custom data flow configurations and analysis mashups. It follows a microservices architecture built around Docker and Mesos allowing stand-alone module execution as well as scalable and flexible deployment on the cloud and easy incorporation with other big data analysis pipelines. This Webinar is intended as a brief overview of the platforms design and technical capabilities. In the webinar you will see an overview of the platforms diverse capabilities, see the main features in action and learn about the platforms many deployment options.
Views: 198 Mixed Emotions
Python for Big Data Analytics - 1 | Python Hadoop Tutorial for Beginners | Python Tutorial | Edureka
 
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( Python Training : https://www.edureka.co/python ) This Python tutorial will help you understand why Python is popular with Big Data and how Hadoop and Python goes hand in hand. This Python tutorial is ideal for beginners. This video will help you learn: • What is Big Data? • Why Python is popular with Big Data? • Hadoop with Python • Python NLTK on Hadoop • Python and Data Science • Demo on Zombie Invasion Model The topics related to ‘Python’ have been widely covered in our course. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 76003 edureka!

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