A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

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

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read ...

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...

Many tools promise that users will gain rapid insights and create more flexibility by capturing and storing data, but introducing NoSQL database technologies into the data warehouse and analytics ...