Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

At Data Summit Connect Fall 2020, John O'Brien, principal advisor and CEO, Radiant Advisors, provided guidance about the agile methodology and templates that project delivery teams can follow to build ...

The warehousing industry faces a significant labor issue, accounting for 50% to 70% of total budgets, as noted by a Bostontec ...

Oracle has announced the general availability of Oracle Warehouse Builder 10g Release 2, the database design and Extraction, Transformation and Load (ETL) tool that helps customers manage the life ...

The major issues of data warehouse architecture are higher cost, lower performance and limited access. The reasons for these problems focus the architectural design. The solutions are proposed with ...

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 ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Embarcadero Technologies, Inc. today announced the availability of ER/Studio® XE, its award-winning database design and data modeling tool suite. This latest version ...

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 ...