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5 Reasons why Java professionals should learn Hadoop

ProjectPro

According to the Industry Analytics Report, hadoop professionals get 250% salary hike. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop. There are 132 Hadoop Java developer jobs currently open in London, as per cwjobs.co.uk

Java 52
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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. The talent pool is huge.”

Hadoop 52
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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? between 2013 - 2020. So many people have told you that Hadoop is the hottest technology right now.

Hadoop 52
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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.

Hadoop 52
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Hadoop 2.0 (YARN) Framework - The Gateway to Easier Programming for Hadoop Users

ProjectPro

Hadoop (Hadoop 1.0) has progressed from a more restricted processing model of batch oriented MapReduce jobs to developing specialized and interactive processing models (Hadoop 2.0). With the advent of Hadoop 2.0, In this piece of writing we provide the users an insight on the novel Hadoop 2.0 to Hadoop 2.0.

Hadoop 40
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Impala vs Hive: Difference between Sql on Hadoop components

ProjectPro

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

Hadoop 52
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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40