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 ...

One day, corporations awoke to the fact that having data was not the same thing as having believable data. They awoke to discover the meaning of “data integrity.” That was the day the enterprise data ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

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 ...

Many data warehouse operators have attempted to implement Master Data Management to improve data quality, but most have focused on mastering data after transactions occur. This approach does little to ...

How structured site assessments, a central data warehouse and RailBI planning software transform rail maintenance.

Every surge in new tech prompts declarations that existing tech is circling the drain, but the data warehouse isn't going anywhere -- in fact, it's healthier than ever When a topic is complex, people ...