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

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.

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.

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.

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 ...

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 ...

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.

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.