Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

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 Warehouse and Data Mart Design: ERwin governs and optimize data warehousing-specific modeling techniques for analyzing its performance.

How does a data warehouse work? A data warehouse is a system that stores and analyzes data from multiple sources. It helps organizations make better decisions by providing a centralized view of their ...

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 ...

Although difficult, flawless data warehouse design is a must for a successful BI system. Avoid these six mistakes to make your data warehouse perfect.

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 ...

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 ...

(Image via CrunchBase) Think about the term “data warehouse”: it conjures up images of days long gone by when IT organizations were primarily concerned with packing up all their digital stuff ...