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Recap of Hadoop News for April 2017

ProjectPro

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Forbes.com, April 3, 2017. Hortonworks HDP 2.6 SiliconAngle.com, April 5, 2017.

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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. million in 2012.

Hadoop 52
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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

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5 Big Data and Hadoop Use Cases in Retail Analytics

ProjectPro

Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects When Target statistician Andrew Pole built a data mining algorithm which ran test after test analyzing the data, useful patterns emerged which showed that consumers as a whole exhibit similar purchase behaviors.

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Is Data Science Hard to Learn? (Answer: NO!)

ProjectPro

And, if you think this may not be true anymore because Harvard stated that in 2012, we have another interesting fact to share with you. Knowledge of machine learning algorithms and deep learning algorithms. Experience with Big data tools like Hadoop, Spark, etc. Efficient at managing and organising a variety of tasks.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Author Name: Nathan Marz, James Warren Year of Release: 2012 Goodreads Rating: 3.84/5 It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. Key Benefits and Takeaways: Learn the core concepts of big data systems.

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Fundamentals of Apache Spark

Knowledge Hut

Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Basic knowledge of SQL.

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