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 ...

A data lake is not so highly organized. Cloud computing experts started using the term data lake to differentiate the storage of both structured and unstructured data compared to a data warehouse.

The data lake enables publishers and brands to build game-changing data assets that enable brands to tell their stories to valuable publisher audiences across time and space – a long-held promise of ...

Enterprises rely heavily on new database technologies and projects to solve data management and analytics challenges.

Data Lakes Are More Fluid Unconstrained by the structured data of a relational database, a data lake collates and aggregates all of an organization’s available data sources — not just ...

Data lake ETL platforms are available in a full range of options – from open-source to managed solutions to custom-built. Whichever tool you select, it’s important to differentiate data lake ETL ...

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

A data lake is essentially a single data repository that holds all your data until it is ready for analysis, or possibly only the data that doesn’t fit into your data warehouse.

Traditionally, database security has always relied on server-side trust. This typically leaves the data accessible to administrators, even if they don’t have client access.

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 ...