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 ...

As Hadoop adoption in the enterprise continues to grow, so does commitment to the data lake strategy. In fact, one-third of Database Trends and Applications readers are currently planning data lake ...

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.

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

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 ...

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 ...

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 ...

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 ...