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.

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.

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.

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.

Visual Data Flows in Azure Data Factory launches as a public preview, and Microsoft touts major price/performance advantages for Azure SQL Data Warehouse.

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 ...

May 27, 2021 — Varada, an data lake query acceleration innovator, today announced a new capability of its flagship platform designed to support text analytics workloads and help data teams deliver ...

As demand for business intelligence (BI) and situational awareness continues to increase, analytics adoption will also keep pace.