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

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, ...

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: ...

Analytics engineers have some of the most in-demand big-data roles in the industry. They're experts in SQL and a new tool called dbt, tasked with cleaning large data sets. Companies like Amazon ...

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.

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.

In SQL Server 2016, high-performance parallelized R services, built right into the database, can interact with T-SQL constructs, essentially bringing the analysis to the data instead of bringing ...

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.