Alation

MARCH 22, 2022

They must put high-quality data into the hands of users as efficiently as possible. DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

Alation

JANUARY 25, 2022

On the policy front, a feature like Policy Center empowers users to enforce and track policies at scale; this ensures that people use data compliantly, and organizations are prepared for compliance audits. Automated Data Orchestration (AKA DataOps). Automated data orchestration interweaves data with connecting processes.

DataOps 52

DataOps SQL ML ML 52

Alation

APRIL 4, 2023

Building data pipelines is challenging, and complex requirements (as well as the separation of many sources) leads to a lack of trust. Troubleshooting data issues , for an exploding number of disjointed systems and tools, breaks self-service for data users and creates gaps in visibility for dataOps.

DataOps 52

DataOps Data Engineering Data Engineer Data Engineering 52