Practical SQL queries are central to data analysis, including selecting films, finding special features, listing active customers, and more. Homework assignments reinforce learning through ...

If you work with databases, you probably use SQL joins to combine data from different tables and sources. SQL joins are essential for data analysis and reporting, as they allow you to create ...

data analysis using different SQL functions like ROW_NUMBER, RANK, DENSE_RANK, SUBSTR, INSTR, COALESCE and NVL. It also involves the use of some built-in functions like concat, upper, lower, initcap, ...

How to use SQL to perform data analysis (House Property Sales Time Series) About the Dataset. The dataset for this analysis is “House Property Sales Time Series” from Kaggle. The schema is called ...

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While the integration of the Power Query engine into Analysis Services Tabular 2017 and Azure Analysis Services with modern data sources will certainly bring a lot of benefits, I think it’s fair to ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...