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 ...

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 ...

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 ...

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 ...

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 ...

Jim Czuprynski, an experienced database architect and published author on database troubleshooting, has spent a month hammering on the Oracle Autonomous Data Warehouse. His insights are worth noting, ...

Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries. Analytic databases are the principal engines ...

As part of a concerted effort to couple its data warehouse more tightly with the SAP HANA in-memory database, SAP today unveiled an implementation of that data warehouse that only runs on HANA. In the ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...