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 lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Using integrated modeling solutions to implement model-driven data management and development can help organizations share knowledge effectively and with minimum effort. It will certainly produce ...

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

In the spirit of capturing and describing this data-warehouse revolution and the drivers shaping Data Warehouse 2.0, Oracle has assembled a list of the Top 10 Data Warehousing Trends for 2013, and ...

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 modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

As companies implement identity resolution solutions, many are left with the challenge of needing to merge offline customer ...

Microsoft is acquiring ADRM Software and plans to combine its Azure compute and storage technology with its large-scale vertical data models.