Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

There’s a trend in IT firms. CEOs and evangelists like to try and coin the next major buzz phrase with the word ‘data’ in it. There’s big data, fast data, data analytics, data provenance, time-series ...

Promising that developers can "save weeks of development effort," Microsoft today answered their request for database project support in Visual Studio to target Azure SQL Data Warehouse projects.

The coolest database system companies of the 2026 Big Data 100 include ClickHouse, Couchbase, EDB, MariaDB, MongoDB, Neo4j, Pinecone and Yugabyte.

As supply chain inflation has slowed, national warehouse storage rates remain elevated, but did not rise quarter over quarter to end 2022. Inventories stayed high in the holiday months of November and ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...