Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...

At Matillion, we spend a lot of our time talking to users. We’re especially interested in hearing your thoughts and opinions on Matillion ETL; what you love about it, and how we could make it better.

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data governance tools are software applications that enable ...

France-based Opendatasoft, which sells data-sharing technology to public agencies and other groups, has launched a data analysis tool to help clients better visualize, manage and use the information ...

Palantir Technologies’ PLTR Foundry platform has become the foundation of its commercial growth, redefining how organizations transform data into actionable intelligence. Foundry integrates ...

AUSTIN, Texas, Sept. 18, 2024 — Datorios, a leading developer of data observability and data quality technology for real-time business operations, has launched the Datorios Lineage Analyzer for Apache ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Enterprise workers are eager to take ...

The Data Governance Market is estimated to be valued at USD 4.75 Bn in 2025 and is expected to reach USD 16.93 Bn by 2032, growing at a compound annual growth rate (CAGR) of 19.9% from 2025 to 2032.

Data lineage is a vital aspect of data management. It refers to the life-cycle of data, including its origins, movements, characteristics, and quality. This article delves into the concept of data ...

Data is an increasingly valuable asset for businesses and a critical component of many digital transformation and business automation initiatives. Here’s a look at 10 tools in the big data space, from ...

The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.