Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the ...

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.

The firm offers Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from data. Its platform supports a range of ...

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.

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

Domo’s second quarter was met with a significant negative reaction from the market, despite the company reporting results above Wall Street expectations. Management attributed the disconnect to a ...

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

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 ...