Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Big data vendor Databricks unveiled SQL Analytics for running SQL queries on data lake systems as an alternative to data warehouses.

These qualities of SQL and other factors pushed data analysts to write code that’s difficult to share or repurpose. Thinking back on those agile principles, data analytics wasn’t doing so great.

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 ...

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 ...

Microsoft announced at the end of February 2022 that significant changes are in store across its SQL Server analytics products. To set the context, the broader enterprise IT marketplace was still ...

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.

SQL Server Analysis Services, one of the key features of Microsoft's relational database enterprise offering, is going to the cloud. The company announced Tuesday that it's launching the public ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes ...