Learn Data Engineering的动态

Most people learn SQL for analysis. But Data Engineers? They need to master SQL for building and optimizing pipelines. Here's your roadmap to do it like a Data Engineering pro: Step 1: Database Foundations ? Understand?how relational databases store data ? Learn?SQL’s role in data engineering workflows Step 2: Writing Solid Queries ? Master?SELECT, WHERE, GROUP BY & JOIN?operations ? Use?subqueries & Common Table Expressions (CTEs)?for cleaner, more efficient queries (?? Struggling with JOIN statements? Check out the cheat sheet below ??) Step 3: Transactions & Data Integrity ? Learn?ACID properties?& how they impact reliability ? Use?Transaction Control Language (TCL)?to maintain data consistency Step 4: Performance Optimization ? Understand?indexing strategies?& how they speed up queries ? Identify & fix?slow queries?to optimize performance Step 5: Advanced SQL Mastery ? Use?window functions?for ranking & analytics ? Write?complex, high-performance queries?for large-scale datasets SQL isn’t just about writing queries. It’s about designing efficient, scalable data workflows. That’s exactly what I cover in?my hands-on course SQL for Data Engineers, where I walk you through this roadmap?step by step, so you can write?efficient, production-ready SQL?like a pro. ???Full course link in the comments! Where do you struggle most when it comes to SQL? Share your experiences and let's help each other. +++ This and 30+ other courses and hands-on projects are available in my Data Engineering Academy. And now is the best time to join: We expanded our?20% discount on all Academy memberships for the whole of March! ???Join the Academy with 20% off now: https://bit.ly/3CSvWmc This way, we're celebrating our new Academy features, including step-by-step roadmaps for beginners, Scientists, and more! P.S.: For those who are looking for?more personalized 1:1 guidance, the next cohort of my?Data Engineer Coaching program?starts April 28th. Check it out here to join: https://bit.ly/4f67pss +++