How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

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.

According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

The new agent upgrades the Databricks Assistant, enabling it to help data practitioners complete repetitive tasks and ...

"Being named #1 on Product Hunt validates our vision to liberate professionals from drowning in data," said Steven Cen, ...

Use the tools and techniques of data analysis to make sense of mountains of information.

Using What-If Analysis, you can visualize the effects of different variables, making it easier to assess risks and opportunities. In Excel, three primary tools are available for performing What-If ...

Part 1 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data business analytics space.