Datagaps
DataOps Suite Implementation for ETL Automation
Pages
1
Time to read
2 mins
Publication
Language
English
Pages
1
Time to read
2 mins
Publication
Language
English
This document is a case study detailing the implementation of DataOps Suite 2020.1.0.0 by a leading French personal care company to automate their ETL and validation processes. The customer faced multiple challenges, including data quality issues, performance problems during data loading, and cumbersome manual testing procedures. The objective was to streamline the ETL process for data migration to Cassandra and Hive, while ensuring data quality and referential integrity. The implementation resulted in significant benefits, including a 45-60% reduction in migration testing time, a 25-35% decrease in overall migration time, and a 30-40% reduction in total cost of ownership. The solution enabled the customer to manage various data flows and pipelines efficiently, apply both pre-built and custom transformations, and achieve 100% test coverage by comparing millions of records. Daily monitoring of production ETL runs and automated execution of data flows across development, testing, and production environments were also established.