Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions. As 2025 approaches, managing ...

The data lake concept generates a lot of excitement and discussion at organizations seeking to get more value from big data. The architectural approach promotes the Hadoop ecosystem to capture and ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

SALT LAKE CITY, Jan. 21, 2026 /PRNewswire/ -- Data Quality Co-op (DQC) today announced the launch of its Data Trust Score ™. Based on observed behavior across the data ecosystem, the Data Trust Score ...

New Dremio survey of enterprise IT professionals finds data lakehouses are the primary architecture for delivering analytics, with 65% running a majority of analytics on lakehouses Over half are ...

Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...

AWS today announced Amazon Security Lake, a new purpose-built data lake for security-related data. It can aggregate data from cloud and on-premises infrastructure, firewalls and endpoint security ...