For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

In an age where data drives innovation and online interactions are integral to daily life, ensuring the security of web applications and databases has never been more critical. The growing surge and ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Mobility data creates traffic modeling opportunities, privacy challenges: MIT panel Panelists from TomTom and StreetLight Data described the benefits of abundant data as well as some shortcomings and ...

Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers. ETL Pipelines: Extracting, transforming, and loading data from source systems into ...

Organizations are constantly seeking more efficient ways to manage, analyze, and derive insights from their ever-growing data assets. With a unified analytics platform like Microsoft Fabric, they’re ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...