As more organizations embark on data transformation programs, they are seeking to optimize their efforts through Hadoop data observability. With the ability to ensure data reliability’s and improve data operations, they are able to optimize their Hadoop environments and simplify their migration to the cloud.
The Acceldata Data Observability platform is being put to use to help data teams derive maximum efficiency and ROI from their data stack. The problem is that without the right level of visibility, data environments keep adding new tools, more complexity, and more blind spots.
Many organizations have invested heavily in mission-critical solutions built on the Hadoop ecosystem. Cloudera has announced the end-of-support for the legacy Hortonworks Data Platform (HDP) and Cloudera Data Hub (CDH). Organizations must assess the pros and cons of whether to migrate to the Cloudera Data Platform (CDP), modernize on alternative platforms (such as Kubernetes or cloud offerings), or go it alone with a self-support model.
Fortunately, a fourth option exists, Acceldata provides a Data Observability platform and support services that give organizations running on-premises Hadoop more flexibility with lower risk and cost for their current and future big data environments. With then right approach to data observability, data teams can benefit from multiple advantages, including: