Video| Big Data / Hadoop Tutorial For Beginners -Parts 1 thru 8 (62,000+ Views)

This is Part 1 of 8 week Big Data and Hadoop course. The 3 hour Interactive live class covers What is Big Data, What is Hadoop and Why Hadoop? We also understand the details of Hadoop Distributed File System ( HDFS). It goes into the details of concepts like Rack Awareness, Data Replication, Reading and Writing on HDFS. We will also show how to setup the Cloudera VM on your machine. Watch Video”

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Guest Blog | “Dear HR: Stop Hiring Data Scientists Until You’re Ready for Data Science”- Greta Roberts, CEO of Talent Analytics

I have seen it first hand many times as a recruiting specialist in the Data Science field. Companies leap into hiring a Data Science Team before they are 100% clear on the mission and it’s costly. Guest Blogger, Greta Roberts, CEO and Co-Founder of Talent Analytics Corp offer interesting advice on how to avoid this pitfall in the article “Dear HR: Stop Hiring Data Scientists Until You’re Ready for Data Science.” Read More

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Edu-Videos | Building Recommender Systems by Netflix Research/Eng Director Xavier Amatriain

Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.

Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures

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Edu-Videos | 100 Most Popular Machine Learning Talks at VideoLectures.Net

Machine learning is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions (wikipedia).

If you are thinking of doing or becoming a Data Scientist or Advanced Analytics professional, you will absolutely need to master Machine Learning. These 100 Most Popular Talks on Machine Learning topics are a great resource to learn. Review List

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SlideShow | 19 In-memory Databases for Big Data Analytics (Gartner)

Amid the big data boom, the in-memory database market will enjoy a 43 percent compound annual growth rate (CAGR) – leaping from $2.21 billion in 2013 to $13.23 billion in 2018, predicts Markets and Markets, a global research firm Gartner.

What’s driving that demand? Simply put, in-memory databases allow real-time analytics and situation awareness on “live” transaction data – rather than after-the-fact analysis on “stale data,” notes a recent Gartner market guide. Here are 19 in-memory database options mentioned in that Gartner market guide. Read More

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