DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including
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As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including
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improved extract, transform and load features for data integration
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Improved data warehousing functionality
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Improved security, workload management and SQL support
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Explanation:
Detailed explanation-1: -MapReduce can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of unstructured data.
Detailed explanation-2: -Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.
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