Data Management | News, how-tos, features, reviews, and videos
Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data.
Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications.
Enterprise workflows desperately need what iPhone and Android users have enjoyed for years—ready access to files wherever and whenever they’re needed, regardless of where the files are physically located.
How Apache Arrow, Apache Parquet, Arrow Flight, and DataFusion bring enhanced data processing capabilities to large volumes of time series and other data.
Use Powerpipe to visualize and validate data in your own Postgres, SQLite, DuckDB, or MySQL database.
The best map data and the most advanced mapping features have been proprietary. The Overture Maps Foundation aims to change that.
Large language models can reshape business processes by automating substantial portions of complex tasks. But they can’t do it alone.
Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider.
TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works.
So many programming languages have come and gone, but SQL remains. And it has a bright future still.
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