As an industry, we’ve been talking about the promise of data lakes for more than a decade. It’s a fantastic concept—to put an end to data silos with a single repos­itory for big data analytics.

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

With the rapidly evolving digital landscape, the ascent of generative AI is not just a passing phase. Organizations that are able to harness the potential of gen AI are set to gain a substantial ...

Call them what you will—online analytical processing (OLAP) databases, enterprise data warehouses (EDWs), massively parallel processing (MPP) databases but databases designed for analytical workloads ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

And knits a graph DB out of LinkedIn cast-offs Microsoft is extending its Fabric cloud-based data platform by including ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

Teradata today rolled out a pair of new products designed to broaden its appeal to a new generation of users, including a new data lake called VantageCloud Lake that melds the workload management ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Oracle is formally getting into the data lakehouse business with the ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...