A data lake is a centralized repository that allows companies to store all of its structured and unstructured data at any scale, whereas a data warehouse is a relational database designed for query ...

To gain insights, data must be transformed and moved out of the lake into an analytical database such as Splunk, MySQL, or Oracle, depending on the use case. This process is complex, slow, and costly.

Gartner this week convened its annual Data and Analytics Summit Americas conference, which was held online again due to the coronavirus pandemic. From the role of AI in data management to avoiding ...

The Finance Ministry's large database, also known as a data lake, is expected to help it design fiscal policies tailored to the specific needs of different regions of the country, says finance ...

Learn why Apache Iceberg is the future of data lake management, offering structured, scalable, and reliable solutions for your organization.

There's still life in the data lake concept, as evidenced by the growing success of Dremio. Dremio describes itself as 'the cloud data lake' platform. It provides a cloud-based engine that layers over ...

Ingesting large volumes of data can yield a rich source of information, but not without risk. Use these tips to improve data quality as your data lake grows.

We look at cloud data lakes, what they are, where they fit in the data management lifecycle, their benefits and the key providers in the hyperscaler clouds ...

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 ...

Genie is a new data integration model that underlies the Salesforce platform with the aim of moving data wherever it’s needed most -- and doing it fast.