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Analytics for Hadoop on Blue mix, Part 3: Analytics for Hadoop on Blue mix: Load data into InfoSphere Insights Larry Weber (http://www.lawrenceweber.com/about/) Program Director, IBM Big Data & Analytics

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What is analytics for hadoop on?

Analytics for Hadoop is a process of analyzing and extracting useful insights from data stored in Hadoop clusters.

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Organizations or individuals who use Hadoop for storing and analyzing data are required to file analytics for Hadoop.

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Analytics for Hadoop can be filled out by using tools like Apache Hive, Apache Pig, or Apache Spark to query and analyze the data stored in Hadoop clusters.

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The purpose of analytics for Hadoop is to help organizations make data-driven decisions, identify patterns, trends, and anomalies in the data.

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Information such as data usage statistics, query performance, data quality metrics, and resource utilization must be reported on analytics for Hadoop.

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