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

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.

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.

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 ...

Forrester Research Inc. analyst Boris Evelson said existing approaches to business intelligence (BI) need updating in the modern world, and converging them with Big Data technologies requires more ...

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.

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 ...

Tony Patton discusses the merits of stored procedures versus placing SQL directly in the code. Find out which one is best for your particular situation.

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 ...