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 ...

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

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 the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

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 ...

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, ...

The new agent upgrades the Databricks Assistant, enabling it to help data practitioners complete repetitive tasks and ...

Async I/O and UUID v7 highlights of the September release, though some SQL features are delayed Users and developers can ...

By any measure, Amazon Web Services is already a monster in the field of analytics via pre-built Hadoop, Redshift, Kinesis, and deep learning services.

Part 1 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data business analytics space.