The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

As the cloud wars heat up, industry clouds are becoming a focal point. Capturing entire enterprise workloads is the biggest challenge ahead for cloud vendors. It might very well decide the fate of ...

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 ...

• The exploratory growth in data sets across industries have prompted businesses to focus more on the effective management and utilization of data • Traditional data warehousing systems are witnessing ...

As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. The hyperscalers have ...

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Can the Oracle database be used as a multimedia repository, workspace environment and streaming platform? 'No' would be the response from most technologists. However, the Oracle database provides ...

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 ...