Data lake vs. data warehouse: Key differences explained Data lakes and data warehouses differ in structure, processing and use cases, offering distinct advantages for enterprise analytics and data ...

Data warehousing, real-time analytics, database appliances, columnar databases, MPP, enterprise architecture and in-memory database news, analysis, trends, and research.

Thomas explains that too many organisations treat their data lakes as passive repositories, a place to store everything, rather than a curated resource. This approach undermines governance, hinders ...

Data is exploding, stacks are sprawling, and AI is raising the stakes. Discover what needs to sit at the center of your martech stack — before it’s too late. The post What should sit at the center of ...

Success with a lakehouse depends on more than just tooling—it requires team readiness, clear processes and thoughtful design.

Why businesses must rethink their data lakes. (image: PBT Group) While businesses are racing to implement artificial intelligence (AI), many overlook a critical factor in success: the quality and ...

For decades, public-sector decisions have run on brittle, fragmented systems. In an era of rapid policy change and real-time ...

A group of Lincoln landlords filed a lawsuit last week seeking to strike down a new ordinance that bans housing ...

Enterprise AI’s potential is undeniable – but most organisations feel their data infrastructure keeps it stuck on the bench ...

Rene Castaneda of Wellington, Texas, was charged with motor vehicle homicide and two other charges in the death of ...

Sauk Prairie Hospital is one of only three hospitals in Wisconsin to receive a five-star rating by the Centers for Medicare ...

Justice & Health Water Management in Great Lakes States Deserves a Closer Look, Group Says Demand for water in the region is increasing from data centers and other businesses, prompting one ...