Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

RiskSpan, a leading provider of data analytics solutions for the structured finance industry, today announced the release of Agentic AI for MBS Data, an AI-powered MBS analyst that delivers instant, ...

At the same time, streaming analytics technology is becoming increasingly accessible through open source projects, such as Apache Storm and Apache Spark, and complex event processing (CEP) engines.

Companies have been pushing the envelope of real-time analytics and what technology is capable of for many years. Along that vein, Rockset today claimed it has smashed through the barriers preventing ...

Customers that already use SQL Server Analysis Services in their private data centers can take the models from that deployment and move them to Azure, too.

SQL scales, and is versatile and proven, solving problems ranging from fast write-oriented transactions, to scan-intensive deep analytics. SQL is orthogonal to data representation and storage.