Control big data management costs with IT workload automation tools

Control big data management costs with IT workload automation tools


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.
30 May 2013
31 Aug 2012
5 Page(s)
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