خرید و دانلود نسخه کامل کتاب Practical Data Engineering With Databricks And PySpark: A Comprehensive Tutorial With Step-by-step Lessons, Real-World Projects, Optimization Techniques and Industry Case Studies

This book is a practical guide to building scalable data solutions using Databricks and PySpark.Starting from the basics, it covers key concepts in big data and data engineering. You will learn how to set up your environment, work with DataFrames and RDDs, write SQL queries, and handle different data formats including JSON, CSV, Parquet, and Delta Lake.The book teaches you how to build batch and real-time data pipelines, implement Structured Streaming, optimize performance, and manage data using Delta Lake features such as time travel and versioning. It also explores machine learning with MLlib and shows how to run Databricks on AWS, Azure, and GCP.Each chapter includes clear explanations and hands-on examples. The final chapter presents real-world case studies from e-commerce and financial services to help you apply what you have learned to actual industry scenarios.Whether you want to learn the fundamentals or improve your skills in building production-ready pipelines, this book provides step-by-step guidance and best practices.Disclaimer: This is an unofficial guide and is not affiliated with, endorsed by, or sponsored by Databricks or any other company mentioned in the book. All product names and trademarks are the property of their respective owners.