When moving to a new cloud data warehouse, be sure to get specifications from business units so the database administrator can identify the tables required for the new warehouse design.

Data Warehouse Design Mistakes Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech.

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 ...

5 Differences Between Static Data Warehouse Design & Agile Data Governance Healthcare organizations have enterprise-wide data sets of which data governance can be time-consuming and labor intensive.

Establish standards for data providers when possible. Conform to standards set by higher levels of government. Data warehouse design must take all of these into account to achieve minimal ...

Today’s businesses understand the power of data. It surrounds every aspect of their operations from marketing and sales to new product design, and even the onboarding of new employees. Captur­ing, ...

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

Data Warehouse Business Analyst Interview Questions. A business analyst, or BA, is a member of a project management team who helps a business resolve issues with its processes to move the business ...

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

The Data Warehouse Lifecycle Course is designed to meet the quickly changing requirements faced by DW/BI project managers. The course prepares managers, DB architects, data modelers, and applications ...