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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. Hortonworks Data Platform 2.4, March 4, 2016. eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. March 7, 2016.

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

ProjectPro

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not.

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Hadoop Explained: How does Hadoop work and how to use it?

ProjectPro

Hadoop has also given birth to countless other innovations in the big data space. Hadoop and Spark is the most talked about affair in the big data world in 2016. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Why use Hadoop?

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

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Healthcare Big Data Projects, Applications and Examples

ProjectPro

.” By the end of 2016, the number of health records of millions of people is likely to increase into tens of billions. Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained.

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Hadoop Ecosystem Components and Its Architecture

ProjectPro

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. The workflows in Oozie are executed based on data and time dependencies.

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