Control big data management costs with IT workload automation tools

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Modern big data environments are testing the performance limits of business process applications. For example, Hadoop, a popular big data platform, can analyze massive amounts of unstructured data, but managing it is time-consuming, and performance bottlenecks are common.

Fortunately, this helpful paper introduces a workload automation technology that streamlines data transfer between Hadoop and other business-critical applications, allowing for lower costs, and higher value from your data.

Read on to discover the benefits this strategy offers, including:

  • End-to-end business process visibility
  • Real-time job stream automation
  • Fewer errors in analytics and reporting
  • And more!
Cisco Systems, Inc.
Feb 8, 2021
Aug 31, 2012
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