In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets. This comprehensive guide by ...

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.

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

SQL Server 2016 shines with stretch database to Azure, queries against Hadoop, internal R, better security, and higher performance ...

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 ...

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.

“Azure Synapse Link for SQL Server 2022 provides near real-time analytics and hybrid transactional and analytical processing with minimal impact on operational systems,” Khan said.

For analytics, Exadata Cloud@Customer X9M delivers up to 25X faster throughput than Microsoft Azure SQL and up to 72X faster throughput than Amazon RDS.

The courses we offer to cover these topics include Desktop Analytics with IT Tools (which you can substitute with Quantitative Analysis for Business Managers), Data Science for Business, Advanced ...

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 ...