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.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.

With the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

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

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.

Explore practical examples to help you master SQL for database management and data analysis using ChatGPT.

The Rise of Vibe Analytics event also marks the general availability of Plotly Studio and Plotly Cloud, following an over-subscribed early access program that gained more than 6,000 registrants.

To address these issues, the Tencent Cloud big data team collaborated with the DASLAB team from Fudan University to propose REDSQL in the paper titled 'The Power of Constraints in Natural Language to ...

My expertise lies in financial analysis, risk management, data analysis using SQL, Python, and machine learning tools.

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