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Despite the technological advances in big data, companies continue to struggle to put it all together and manage data in an effective way. Now a company called Isima is stepping forward with a plan to build a platform that combines multiple data management disciplines–including ESBs, EDWs, ETL, and BI–into one hyperconverged system, or what its CEO dubs “the Nutanix of data management.”
We’ve gone through three distinct architectural phases in building big data systems, according to Darshan Rawal, the CEO and co-founder of Isima.
The first phase, which started in the late 1990s, was based on a scale-up client-server architecture that utilizes master-slave relationships and standard relational databases. Oracle, Microsoft, IBM, and the rest built enterprise IT solutions atop this architecture, and many of them are still in place today.
The second phase began with the publishing of the Google Big Table in 2006, which spurred numerous distributed systems like Apache Hadoop, Apache Cassandra, and other “big data” technologies. These scale-out systems, such as Cloudera’s distribution of Hadoop, could store petabytes of data, but were hampered by the co-location of compute and storage (although Cloudera, of course, is moving past Hadoop).
We’re currently in …
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