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

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific features as much as about integration, scale and reliability: It supports ...

Breaking into data analytics is not simply about learning a tool or two, but about building a blend of technical skill, ...

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.

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 ...

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.

Customers that already use SQL Server Analysis Services in their private data centers can take the models from that deployment and move them to Azure, too.

The big data access methods most preferred by respondents include Spark SQL, Hive, HDFS and Amazon S3. 73% of the respondents consider Spark SQL critical to their analytics strategies.