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.

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.

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

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

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 ...

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 ...

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 ...

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.

InfoTech Data & Analytics is part of Group Data Services (Digital & Tech) and links almost 70 data sources to give Swiss Re clear, trusted insight for steering group operations. The team is composed ...