Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...
This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...
Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...
Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...
Cloud Big Data analytics, AI/ML expert. Venkata Ram Anjaneya Prasad Gadiyaram(aka Ram Ghadiyaram) is a seasoned Cloud Big Data analytics, AI/ML , mentor, and innovator ...
Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results