What is this?
A free online book (the Data Engineering Cookbook) that covers everything a data engineer needs to know, from basic engineering skills to advanced platform design, case studies and interview prep.
A free online book (the Data Engineering Cookbook) that covers everything a data engineer needs to know, from basic engineering skills to advanced platform design, case studies and interview prep.Is this a tool or a reading list?It is a long-form written guide/book organized as a single README with chapters, not code or software to run.
It is a long-form written guide/book organized as a single README with chapters, not code or software to run.How is the content organized and where should I start?It starts with an Introduction covering what data engineering is and roadmaps for beginners, analysts, data scientists and software engineers, then moves into Basic Engineering Skills, Advanced Engineering Skills, case studies, cloud best practices and interview questions.
It starts with an Introduction covering what data engineering is and roadmaps for beginners, analysts, data scientists and software engineers, then moves into Basic Engineering Skills, Advanced Engineering Skills, case studies, cloud best practices and interview questions.Do I need any tools or accounts to read it?No, it's a plain Markdown document you can read directly on GitHub; no installation or accounts are required.
No, it's a plain Markdown document you can read directly on GitHub; no installation or accounts are required.Is this a complete course or more of a curated reference?It's a reference/cheat-sheet style collection of topics and links rather than a structured course; deeper hands-on learning is pointed to the author's paid Data Engineering Academy.
It's a reference/cheat-sheet style collection of topics and links rather than a structured course; deeper hands-on learning is pointed to the author's paid Data Engineering Academy.Who is this cookbook for?Aspiring and practicing data engineers, plus data analysts, data scientists and software engineers who want to move into data engineering.
Aspiring and practicing data engineers, plus data analysts, data scientists and software engineers who want to move into data engineering.What extra resources does the cookbook include besides theory?It links 130+ public data sources for building portfolio projects, 1001 interview questions, recommended books/courses/podcasts, and real-world case studies from companies like Netflix, Uber, Airbnb and Spotify.
It links 130+ public data sources for building portfolio projects, 1001 interview questions, recommended books/courses/podcasts, and real-world case studies from companies like Netflix, Uber, Airbnb and Spotify.Does it cover specific cloud platforms?Yes, it has a dedicated Best Practices section for AWS, Microsoft Azure and Google Cloud Platform covering Connect, Buffer, Processing, Store, Visualize and Containerization for each.
Yes, it has a dedicated Best Practices section for AWS, Microsoft Azure and Google Cloud Platform covering Connect, Buffer, Processing, Store, Visualize and Containerization for each.Does it help with interview preparation?Yes, it includes a section with 1001 interview questions plus 81 platform and pipeline design questions to practice with.
Yes, it includes a section with 1001 interview questions plus 81 platform and pipeline design questions to practice with.What are similar projects?professional-programming, devops-exercises, data-engineer-handbook, machine-learning-systems-design, full-stack-data-engineering, from_coder_to_expert, awesome-design-patterns, ds-cheatsheets
professional-programming, devops-exercises, data-engineer-handbook, machine-learning-systems-design, full-stack-data-engineering, from_coder_to_expert, awesome-design-patterns, ds-cheatsheetsWhich topics is it in?cookbook, checklist, kafka, data-engineering, big-data, nosql, aws, interview-preparation, best-practices, career, sql, data-science
cookbook, checklist, kafka, data-engineering, big-data, nosql, aws, interview-preparation, best-practices, career, sql, data-science