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

How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

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: ...

In this article, the author shows how to use big data query and processing language U-SQL on Azure Data Lake Analytics platform. U-SQL combines the concepts and constructs both of SQL and C#. It ...

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 ...

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.

Not surprisingly, Microsoft itself uses this to provide Big Data services right within Excel – Excel is one of the primary clients to enable big data analytics on Microsoft platforms.

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.

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 ...