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

It is no secret that data has become a prerequisite for analysis, as the digitized world has enabled our every movement to be translated into data points captured by various technologies.

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

TL;DR Key Takeaways : Master essential technical skills like Excel, SQL, Python, and data visualization tools (e.g., Tableau, Power BI) to build a strong foundation for data analysis.

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 ...

With a wide-ranging toolbox and a large memory, the AI can write code in Python and manipulate files up to 500MB in size. Code Interpreter allows ChatGPT Plus users to generate charts, maps, data ...

Here's 9 ways ChatGPT Plus users have used Code Interpreter, from data analysis to game creation. It seems ChatGPT just got a whole lot more useful. Last week, ...

Prophecy 3.0’s unique technology enables business data users to visually build data pipelines that Prophecy instantly turns into SQL code (as dbt Core™ projects that are 100% open-source).

Big data engineering company dbt Labs Inc. today announced it’s buying SDF Labs Inc. in a merger of acronymic startups that promises to deliver improved data velocity and quality for their customers ...