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!