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Weekly Roundup: Hadoop Happenings ending 3/21

 

Hadoop Happenings Weekly Roundup

This week resources for Hadoop beginners were popular from free ebooks, to overviews of Hadoop companies, to a guide to a successful Hadoop job interview. Allied Market Research projects the Hadoop market to reach $50.2 billion by 2020.

1. 15 Free eBooks on Hadoop!

For those looking for some good resource material for learning about the Hadoop ecosystem. Check out this list of free eBooks on Hadoop. Read More

2. Paul Maritz at Structure: Hadoop is Just One Ingredient of a ‘Profound Shift’ in Software 

This overview of an interview with Paul Maritz, CEO of Pivotal, discusses the shift Hadoop has created in the business world as companies in every sector are creating new platforms for data storage and analytics. Read More

3. Big Data is Not Hadoop – Part 2

In part two of the series, Teradata discusses the implications of businesses being able to collect all of the data, all the time. Read More

4. Hadoop Market Forecasted to Reach $50.2 Billion by 2020

A new report from Allied Market Research on the projected growth of the Hadoop market. Read More

5. What Can GPFS on Hadoop Do For You?

This article discusses the implications of using GPFS instead of HDFS on Hadoop. Read More

6. O Hadoop Users, Where Art Thou?

This Gartner researcher is looking for insights into the appropriate security measures to take with Hadoop. Read More

7. Nine Hadoop Companies You Should Know

An overview of some of the companies that offer Hadoop. Read More

8. 4 Interview Questions for Newcomers to Hadoop

Applying for a job in Hadoop for the first time? See some common questions and the smart way to respond. Read More

9. Big Data: Getting Started with Hadoop, Sqoop & Hive

Learn the prerequisites and follow the instructions for installing HDFS and loading and installing data. Read More

10. GigaOm Pundit Suggests Enterprises Have Gone From Hadoop to ‘Hadumping’

This summary from GigaOm’s Structure Data conference last week found that enterprises who aren’t successful with Hadoop are those that compile data but don’t know what to do with it. Read More

 


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