First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

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 ...

Read this article in Thai. View the video of Microsoft Sentinel data lake introduction here. You can’t protect what you can’t see. Security operations teams have long been faced with the challenge of ...

Every college and university has data storage needs, and student records are just the beginning. IT systems demand storage as well: Internet logs, security events, building systems, security cameras ...

Yellowstone Lake, North America’s largest high-elevation lake, freezes over completely in late December or early January and usually thaws in late May or early June. The period of ice cover has not ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now What is a data lake solution? 5 must-have ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

The IRB is responsible for evaluating proposed research to ensure adequate provisions to protect the privacy of participants and to maintain the confidentiality of data. Research involving human ...

If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost importance. When it comes to managing data ...