Five Ways Automation Speeds Up Big Data Deployments

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Control and Security

Users can feel trapped by a distribution vendor's lock on their Hadoop environments. Isn't one of the goals of open source software to eliminate vendor lock and provide IT with greater flexibility? Regaining control of your Hadoop cluster environment through automation makes IT more self-supporting. Adding comprehensive security by automatically extending encryption, access control and security policy enforcement across the Hadoop environment addresses enterprise requirements for IT compliance and governance.

Hadoop has come a long way since its inception. From its early days as a platform, to an index for the Web, it has evolved to its current interactive, real-time and batch processing capabilities spanning gigabytes to petabytes of content. However, as enterprises move Hadoop from pilot to production environments, they are finding the "on-boarding" process slow and complicated.

Along with Hadoop, other Big Data technologies are complex and challenging to set up, sometimes generating large costs for support and maintenance. This is not a scalable model for customers who want to efficiently move Hadoop into production networks. That said, here's a breakdown of the five ways automation speeds up the Big Data on-boarding process from Big Data management and security vendor Zettaset.

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
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