Our collective attention has focused so intensely on LLMs in the past year or so, that it’s sometimes easy to forget that the core daily workflows of millions of data professionals are far more…

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Relational databases and SQL queries remain vital for daily workflows of data professionals, despite the buzz around LLMs. This post highlights essential reads on maintaining and growing skills in data and ML tasks, emphasizing the interconnectedness of foundational data operations and advanced AI tasks. Featured topics include simplifying Python code for data engineering, learning SQL for data analytics, using pivot tables in SQL, managing Excel charts with VBA, and turning relational databases into graph databases.

Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads