Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

There’s no debate over whether Notion’s databases are powerful and useful. The tables, filters, rollups, and relations all ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Today’s enterprises continue to invest aggressively in “cloud-first” strategies and architectures. All industries and verticals are adopting cloud services across all layers of cloud deployment models ...

In a connected world, real-time data pipelines power applications and insights, providing the digital infrastructure for active data. This helps data-driven companies understand how their customer ...

The integrity of database systems is increasingly dependent on maintaining high data quality while enforcing robust consistency rules. Data quality encompasses the accuracy, completeness, and ...

Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Continue Reading ...

Small businesses must make sense of the large amount of information they receive. Here’s how to understand big data so you ...

This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...