Michigan’s cloud-based system, now in implementation, aims to integrate and refine data from across districts to provide ...

In modern data processing, a data lake stores more raw data for future modeling and analysis, while a data warehouse typically applies a relational schema to the information before it’s stored.

The Data Lake solutions include access to over 1,000 proprietary data assets, which will be expanded over time, as well as a technology platform allowing clients to manage their own data.

The Spark Data Lake example builds a data lake and processes data with Apache Spark, providing a multi-environment CI/CD pipeline with support for integration tests.

The new "agentic defense" system is intended to help organizations manage the mountains of data that are being collected in the burgeoning AI era.

OAKLAND, Calif., Nov. 16, 2023 — Deepening its relationship with Microsoft, Fivetran, the global leader in automated data movement, today announced its support for Microsoft OneLake through ...