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Recap of Hadoop News for March

ProjectPro

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. March 1, 2016. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, March 4, 2016. March 7, 2016. March 11, 2016.

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Recap of Hadoop News for August

ProjectPro

News on Hadoop-August 2016 Latest Amazon Elastic MapReduce release supports 16 Hadoop projects. TechCrunch, August 2, 2016 Amazon released its latest version of Elastic MapReduce (EMR) 5.0 that is aimed to help data scientists and other interested parties looking to manage big data projects with hadoop.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Mention about ETL and eyes glaze over Hadoop as a logical platform for data preparation and transformation as it allows them to manage huge volume, variety, and velocity of data flawlessly.

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Hadoop- The Next Big Thing in India

ProjectPro

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.

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What are the Pre-requisites to learn Hadoop?

ProjectPro

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? By 2018, the Big Data market will be about $46.34 Big Data is not going to go away.

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Make a Career Change from Mainframe to Hadoop - Learn Why

ProjectPro

Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs. Need to Offload Data from Mainframes to Hadoop Mainframe legacy systems account for 60% of the global enterprise transactions happening today.70%

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Difference between Pig and Hive-The Two Key Components of Hadoop Ecosystem

ProjectPro

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

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