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 ...

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 ...

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 ...

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?” ...

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 ...

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 ...

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, ...

Four-day intensive October '09 program focuses on DW Lifecycle, Dimensional Modeling, and ETL Architecture for BI and DW professionals Dubai, UAE - October 11, 2009 -- Sybase Middle East has announced ...

The open source, massively parallel processing (MPP) analytical database will take on the likes of ClickHouse, MariaDB, Apache Druid, Apache Pinot, and hyperscaler services such as Google BigQuery, ...

Why is Steve Jobs standing in front a huge data warehouse just weeks after patching a big privacy hole in iOS? Steve Jobs' morning keynote at Apple's World Wide Developers Conference included some ...