Title
Fundamentals Of Data Engineering: Plan And Build Robust Data Systems,New
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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an endtoend framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of the book? A: The book measures seven point zero one inches in length, one inch in width, and nine point two five inches in height.
- Q: How many pages does the book have? A: The book contains four hundred forty-seven pages, offering a comprehensive exploration of data engineering.
- Q: What is the binding type of this book? A: The book is available in paperback binding, making it easy to read and handle.
- Q: Who are the authors of this book? A: The book is authored by Joe Reis and Matt Housley, both experienced in the field of data engineering.
- Q: What topics does the book cover? A: The book covers the data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance.
- Q: How can I apply the concepts from this book? A: You can apply the concepts by using the data engineering lifecycle framework to design and build robust data systems.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners and professionals, providing a clear overview of data engineering principles.
- Q: Can I use this book for self-study? A: Yes, this book is designed for self-study, with practical insights and best practices for data engineering.
- Q: Is there a recommended reading order for the chapters? A: While the book can be read linearly, it is structured to allow readers to focus on specific sections based on their needs.
- Q: How should I store this book? A: Store the book in a cool, dry place, away from direct sunlight, to maintain its condition over time.
- Q: Can I lend this book to someone? A: Yes, you can lend the book to others, but ensure they handle it with care to prevent damage.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange policy.
- Q: Does this book have any safety information? A: There are no specific safety warnings associated with this book, as it is a standard educational resource.
- Q: Is there an index or glossary in the book? A: Yes, the book includes an index, which helps locate specific topics quickly.
- Q: What are the benefits of reading this book? A: Reading this book will equip you with the knowledge to navigate the complexities of data engineering and technology selection.