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 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?

Inmon versus Kimball is one of the biggest data modelling debates among data warehouse architects. Here is some help to select your own approach.

Big data got you down? Watch this new webcast with Oracle Ace Bert Scalzo to learn how to organize current data stores, use tools to create and maintain successful data warehousing and business ...

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

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

#1-Ranked Industry Analyst Patrick Moorhead dives deeper as today, Oracle announced the next generation of its Autonomous Data Warehouse, designed to make it so easy to use that even entry-level ...

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 ...