Suppose you wanted concise, reliable information about current operations, trends, and changes across the entire company. If you worked in a large company, the data you need might have to be pieced together from separate systems, such as sales, manufacturing, and accounting, and even from external sources, such as demographic or competitor data. Increasingly, you might need to use big data.

$\_\_\_\_\_\_\_\_\_\_$ breaks a big data problem down into sub$-$problems, distributes them among up to thousands of inexpensive computer processing nodes, and then combines the result into a smaller data set that is easier to analyze.

ANSWER

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Hadoop

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Online analytical processing $($OLAP$)$

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Data cleansing

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In$-$memory computing