Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech. Data warehouse design is not a short-term investment and it’s ...

Data warehousing can be an expensive project with high costs and a great return on investment — if executed properly. Data warehousing is a process that connects several databases together in a single ...

The processing needed to populate a data warehouse is generically referred to as “ETL.” ETL originally stood as an acronym for “Extract, Transform, and Load.” Those three kinds of actions were ...

Healthcare organizations have enterprise-wide data sets of which data governance can be time-consuming and labor intensive. Yet, healthcare needs to move towards the 21st century in terms of data ...

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 failing?” ...

When it comes to designing a data warehouse for your business, the two most commonly discussed methods are the approaches introduced by Bill Inmon and Ralph Kimball. Debates on which one is better and ...

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O’Brien, ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

A data warehouse lies at the foundation of any business intelligence (BI) system. But if this foundation is flawed, the towering BI system cannot possibly be stable. Given BI’s importance as a ...