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.

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 ...

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.

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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Choosing the right data management solution comes with a long list of considerations for district IT teams, including where to start. Banks, co-host of the Packet Pushers Podcast, has been managing ...

Oracle Data Warehouse and Amazon Redshift are two popular data warehousing solutions, but which one has your organization’s ideal features and capabilities? Read this comparison to find out. Data ...

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.

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 ...

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 ...