Alation

OCTOBER 12, 2021

One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … Business strategy.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

APRIL 18, 2023

Data profiling helps organizations understand the data they possess with an eye to its quality level, which is vital for effective data governance. Modern data profiling will also gather all the potential problems in one quick scan. It can locate the ten things that may cause a problem instead of just one thing.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Precisely

DECEMBER 12, 2023

For some time now, data observabilit y has been an important factor in software engineering, but its application within the realm of data stewardship is a relatively new phenomenon. Data observability is a foundational element of data operations (DataOps). In either case, the change can affect analytics.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

phData

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. Bitbucket, Github) to allow advanced workflows.

ETL 52

ETL Analytics Analytics Data Models 52

phData

MAY 7, 2025

Youll learn to monitor data file changes, audit data growth patterns, and reduce troubleshooting timewithout adding new tools or unnecessary complexity. Whether youre a data engineer, architect, or platform owner, this approach can help you shift from reactive firefighting to proactive, intelligent data management.

DataOps 52

DataOps AWS SQL Data Engineering 52