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 ...

In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...

To serve the data analytics and applications for business growth and operational needs, data lakes are being widely adopted as the data infrastructure because of their scalability and flexibility.

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

Call them what you will—online analytical processing (OLAP) databases, enterprise data warehouses (EDWs), massively parallel processing (MPP) databases but databases designed for analytical workloads ...

From phishing attacks taking advantage of pandemic-related vulnerabilities to hackable voter registration databases, online security is perpetually a step behind. Weak passwords and phishing attacks ...

Big players like Microsoft and Amazon offer inexpensive cloud-based solutions for organizational data storage known as data lakes, which are rapidly becoming a central component in the cloud strategy ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

The move towards an entirely data-driven business ecosystem has been underway for a while, but it hasn’t always gone smoothly. Although 96% of companies said that they saw success from data and AI ...

OceanBase today announced the release of OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to manage multimodal data, deliver real-time trusted data context to AI agents, ...

Technology has afforded nonprofits access to a tremendous amount of data to raise revenue, run their operations, and pursue their mission. But access is not the equivalent of understanding the full ...