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

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.

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

In data warehousing, the logical model is often an afterthought or merely a carbon copy of the physical sans platform-specific properties. That limits the visibility and the use of the model to a ...

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

VP & Principal Analyst, Datacenter Compute, Matt Kimball, covers the recent updates to Oracle's Autonomous Data Warehouse (ADW) service, providing his thoughts on how these advancements position ...

Traditional data modeling followed the steps of design, document, implement, integrate and publish. The shift to big data has caused the process for organizations to change. Data modeling for big data ...

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