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 ...

Which application did most organizations build first: a data warehouse/data marts or a meta data repository? The obvious answer is a data warehouse. While most Global 2000 corporations have some form ...

When Mark Hulse, current vice president and CIO, joined H. Lee Moffitt Cancer Center & Research Institute in Tampa, Fla., around 2010, the medical center already had a working data warehouse. However, ...

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 ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

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 ...

The problem.When Mark Hulse, current vice president and CIO, joined H. Lee Moffitt Cancer Center & Research Institute in Tampa, Fla., around 2010, the medical center already had a working data ...