ChaosSearch, a leading log analytics platform, today announced the release of Chaos LakeDB – the first data lake database designed to power generative artificial intelligence (AI), SQL, and Live ...

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.

The data lake approach is increasingly being championed as a way to realize the promise of big data. This allows organizations to avoid transforming and loading data into a purpose-built data store, ...

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 ...

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.

Data Lake-as-a-Service provides big data processing in the cloud for business outcomes in a cost effective way. InfoQ spoke with Lovan Chetty & Hannah Smalltree from Cazena about these solutions work.

While much has been said and written about the data lake, in the end, the concept has stayed pretty simple. The idea has been to use Hadoop as a place that data of all types could be stored in ...

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

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 ...