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

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding ...

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.

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 ...

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.

Sisense, the leading AI-driven platform for infusing analytics everywhere, ... and with the highest degree of data security. Analysis using SQL or Python. Capabilities include SQL to charts, ...

SQL Training Courses - Why every professional should learn SQL - MS SQL Server Training for Data Analytics. Learning SQL (Structured Query Language), is one way to do that, ...

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.