For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

LiveRamp Holdings, Inc. is a top Buy, with strong growth, rising demand for data solutions, solid financials, and robust ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in industrial settings, ...

Legacy data systems are holding back GenAI adoption. Intugle wants to change that with a semantic-first, policy-aware ...

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

HackerRank isn’t just a random collection of problems; they’ve organized their SQL section pretty well. You can find ...

Overview: Data Science focuses on extracting insights from data, while AI builds systems that mimic human intelligence.AI ...

In the ecosystem of big data technology, Apache Spark has become one of the most mainstream distributed computing frameworks ...

Overview of Core Features and Architecture of Spark 3.x Before starting practical work, we must first understand the core ...