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5 Big Data Myths

June 19, 2012

by Angela Guess

Brian Gentile, CEO of Jaspersoft, has written an article for Mashable about the top five Big Data myths. One myth is that Big Data means Hadoop: “Hadoop is the Apache open-source software framework for working with Big Data. It was derived from Google technology and put to practice by Yahoo and others. But, Big Data is too varied and complex for a one-size-fits-all solution. While Hadoop has surely captured the greatest name recognition, it is just one of three classes of technologies well suited to storing and managing Big Data. The other two classes are NoSQL and Massively Parallel Processing (MPP) data stores. (See myth number five below for more about NoSQL.) Examples of MPP data stores include EMC’s Greenplum, IBM’s Netezza, and HP’s Vertica.”

Another is the NoSQL means No SQL: “NoSQL means ‘not only’ SQL because these types of data stores offer domain-specific access and query techniques in addition to SQL or SQL-like interfaces. Technologies in this NoSQL category include key value stores, document-oriented databases, graph databases, big table structures, and caching data stores. The specific native access methods to stored data provide a rich, low-latency approach, typically through a proprietary interface. SQL access has the advantage of familiarity and compatibility with many existing tools.”

Read more here.

photo credit: Hadoop

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