Buku treats your bookmarks as a knowledge management system rather than just a simple list of URLs. When you add a link, buku ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Residents fear data centers will raise utility bills and strain resources Local opposition unites farmers, environmentalists and homeowners across party lines Pennsylvania utilities project sharp rise ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

President Trump fired the head of the BLS, claiming manipulated jobs numbers after a report of slowed hiring. While revisions were more dramatic than usual, these numbers are always revised. WSJ ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Abstract: Synchrophasor measurements are critical in providing wide-area situational awareness to power system operators. However, data artifacts may be introduced in these measurements due to various ...

Databases publish data. This is undoubtedly the case for scientific and statistical databases, which have largely replaced traditional reference works. Database and Web technologies have led to an ...

For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment ...

In today’s data-driven world, data entry skills are more valuable than ever. Most data entry roles require a high school diploma or GED, making them accessible to a wide range of job seekers. Whether ...

Abstract: Machine learning-based time series analysis has numerous applications in industrial automation, particularly in identifying sensor signals collected from distributed machines. However, large ...