It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...

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 ...

Designing your data warehouse Let’s start at the design phase. When planning your design, the vision for your new data warehouse is best laid out over an enterprise data model (EDM), which consists of ...

Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects ...

Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs. Companies use the ...

The Top 25 Firm plans to launch a data warehouse service for smaller organizations this year and has been using AI to develop some of its rollout strategies.

Software giant SAP Wednesday unveiled SAP Datasphere, the next generation of the company’s cloud data warehouse service with new data cataloging, simplified data replication and enhanced data ...