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Data Engineering Made Simple: Your Friendly Guide to SQL, Python, and PySpark
What's
SQL Learn how to create and manage databases, perform complex queries, and optimize your SQL operations.Python for Data Discover how to use Python for data manipulation, automation, and building data pipelines with Pandas and other essential libraries.Introduction to Understand the power of PySpark for big data processing and learn how to use it for efficient data transformations.Advanced PySpark Explore optimization, performance tuning, and integrating PySpark with AWS data engineering tools.Real-World Apply your skills with comprehensive projects in healthcare and airline industries, showcasing end-to-end data engineering solutions.Emerging Trends and Future Stay ahead with insights into the latest trends, technologies, and best practices in data engineering.Who Should Read This
Aspiring data engineers looking to start their career with a solid foundation.Experienced data professionals seeking to enhance their skills and stay current with industry trends.Data scientists and analysts who want to understand the data engineering pipeline and improve their collaboration with data engineers.Why You Should Read This
Practical examples and real-world projects make learning easy and relatable.Comprehensive coverage of tools and techniques ensures you're well-equipped for any data challenge.Tips and best practices from an industry expert help you avoid common pitfalls and optimize your workflows.Start your journey to mastering data engineering today with "Mastering Data From SQL to PySpark." Happy coding!
SQL Learn how to create and manage databases, perform complex queries, and optimize your SQL operations.Python for Data Discover how to use Python for data manipulation, automation, and building data pipelines with Pandas and other essential libraries.Introduction to Understand the power of PySpark for big data processing and learn how to use it for efficient data transformations.Advanced PySpark Explore optimization, performance tuning, and integrating PySpark with AWS data engineering tools.Real-World Apply your skills with comprehensive projects in healthcare and airline industries, showcasing end-to-end data engineering solutions.Emerging Trends and Future Stay ahead with insights into the latest trends, technologies, and best practices in data engineering.Who Should Read This
Aspiring data engineers looking to start their career with a solid foundation.Experienced data professionals seeking to enhance their skills and stay current with industry trends.Data scientists and analysts who want to understand the data engineering pipeline and improve their collaboration with data engineers.Why You Should Read This
Practical examples and real-world projects make learning easy and relatable.Comprehensive coverage of tools and techniques ensures you're well-equipped for any data challenge.Tips and best practices from an industry expert help you avoid common pitfalls and optimize your workflows.Start your journey to mastering data engineering today with "Mastering Data From SQL to PySpark." Happy coding!
99 pages, Paperback
Published August 8, 2024
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