DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

erwin

MAY 17, 2021

We explored the bottlenecks and issues causing delays across the entire data value chain. Thematically “data quality” is at the heart desired data governance outcomes, challenges and bottlenecks, pointing to its overall importance. Other Key Findings. Self-service done right is a game-changer.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

erwin

JUNE 17, 2021

We explored the bottlenecks and issues causing delays across the entire data value chain. Thematically “data quality” is at the heart of desired data governance outcomes, challenges and bottlenecks, pointing to its overall importance. Other Key Findings. Self-service done right is a game-changer.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59