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 ...

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 ...

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 ...

Quest Software Inc., the former Dell Technologies Inc. business unit that’s focused on enterprise data management and security, today announced a major update to its popular erwin Data Intelligence ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

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 ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

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 ...