Today databases and data warehouses are not only systems for reliable storage and processing of service information. One of the most attractive features of big data technologies is the cost of storing ...

What happens when data warehouses, the large data repositories companies have built and managed for years, are combined with autonomous capabilities of the future? Oracle’s new Autonomous Data ...

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 ...

In March of this year, Oracle delivered the world’s first self-driving database—a technology leap that’s been decades in the making, and that arrives just in time for the pressures and headaches of ...

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 ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

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 ...

In Service Manager 2010, the data warehouse is implemented a bit differently than in Operations Manager 2007. Let’s take a look at some of the differences and potential implications. Service Manager ...

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 ...