The 'Intrinsic Limitations' of Relational Databases Since the 1980s, relational databases have become the 'power core' of ...

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

AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge ...

Microsoft’s Bradley Ball dives into the inner workings of SQL Server indexing to help developers and DBAs speak the same ...

Overview:  DataOps shortens the gap between business questions and reliable answers, enabling real-time decisions instead of delayed reports.Core practices ...

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

A Solana developer was billed $5,000 for a single query on Google Cloud’s BigQuery, as industry watchers warned of predatory ...

Introducing the Data Vending Machine, schema caching in Structural, strengthened synthesis in Textual, + Object and Array generators in Fabricate!

Businesses can integrate blockchain and decentralized compute to manage data while limiting hallucinations, boosting trust, ...

Snowflake is positioning itself as the “factory floor” for enterprise AI, embedding LLMs, RAG, and skills into its AI Data ...