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

The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

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.

Microsoft makes additional speed-up claims for specific cases for SQL Server 2016 versus SQL Server 2014; some of these are very specialized, such as “19x faster Spatial native functions,” and ...

Analysis using SQL or Python. Capabilities include ... Advanced operations such as window functions and common table expressions allow analysts to glean more complex insights from datasets ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

MapR adds self-service SQL Analytics. News. May 19, 2015 3 mins. Analytics Big Data Hadoop. ... “That’s typically an IT function to determine how to represent this data.

The organizational design of the analytics function is never set in stone. It can be outsourced or in-house; sit within a business unit or run from the centre. But it needs governance.