NoSQL, Part 2: Grappling With Big Data

Back in 2009, SQL databases began emerging, mainly to handle modern Web-scale databases. They could handle massive amounts of data; tackle the exponential growth of newly created digital content from social media sites and websites; and help build value around data by connecting the dots — no small task when a plethora of data is continuously being created.
Those very features led Twitter to move from shared MySQL + Memcached to the Apache Cassandra project in 2010.
NoSQL tools really came into their own with the advent of Big Data — data collections so large that they cannot be effectively managed or exploited using conventional data management tools such as traditional relational database management systems.

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