Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.

Healthcare data types are pretty important for understanding how care works. It’s not just about doctor’s notes ...

Things break and the DBA must be prepared for situations where a failure impacts the availability, integrity, or usability of a database. Reacting to failures and service disruptions is a key ...

As there are many misconceptions associated with realizing data quality, here are three important data quality myths and their corresponding realities.

Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no comprehensive ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

LAist, KQED and CapRadio are among the partner organizations gathering and sharing thousands of documents made public since ...