Enabling DataOps in a Large DWH with Automated Lineage for Shorter, Bug-Free Releases

A European financial institution had gathered and been processing over a million algorithms of finance-related logic in their data warehouse. This huge data warehouse environment turned out to be a major obstacle to the Agile approach that the organization had adopted.

The DataOps team's limited understanding of the environment sabotaged the plan to release weekly updates and new data analytics capabilities.

This case study explains how MANTA helped them to gain a handle on this complexity, allowing them to reduce errors and achieve the frequent changes, releases and continuous deployment wanted