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.

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

SaaS data warehouses and low-code or no-code data ingestion tools empower the data analyst (now analytics engineer) to mostly self-serve on their infrastructural needs.

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

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 ...

Rockset today announced launched a new integration into SQL Server that will allow customers to continuously index production data as it hits the relational database and deliver sub-second analytics ...

New extension fosters analytics of various types of data stored in the Azure Data Lake using U-SQL, a blend of declarative SQL and imperative C#.

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.

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

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...