by Angela Guess
According to a new press release, “Unravel Data, the industry’s only intelligent application performance management (APM) platform designed to simplify DataOps, today unveiled a new set of automated actions for improving Big Data operations and performance. Designed by Unravel after months of working with 100+ enterprise customers and prospects to uncover their biggest Big Data challenges, Unravel 4.0 makes DataOps more proactive and productive by automating problem discovery, root-cause analysis, and resolution across the entire Big Data stack, while improving ROI and time to value of Big Data investments. DataOps is a set of practices and tools used by Big Data teams to increase velocity, reliability, and quality of data analytics. Done right, DataOps fosters a tight collaboration between data engineers/data scientists and IT operations, which in turn leads to faster time to market with Big Data apps that are high performing and reliable.”
The release goes on, “IDC’s Worldwide Semiannual Big Data and Analytics Spending Guide predicts that the Big Data and business analytics market will grow to $203 billion by 2020. However, running applications on this mass influx of Big Data systems is not becoming any easier. Operations teams typically leverage multiple tools in order to manage their Big Data stack, such as Application Logs, Cloudera Manager / Ambari UI, MapR Control System, Job History UI, and Spark Web UI. This approach causes bottlenecks and creates delays for users who must turn to short-handed DataOps teams to gain complete diagnostic understanding of the issues, which inevitably results in lost money and time. Unravel mitigates these issues by providing a full-stack performance management software that monitors everything from applications down to infrastructure, all from one place.”
Read more at Marketwired.
Photo credit: Unravel Data