Title
Fundamentals Of Data Engineering: Plan And Build Robust Data Systems
Delivery time: 8-12 business days (International)
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
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⚠️ 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.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Fundamentals of Data Engineering'? A: The book covers the entire data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance, providing a comprehensive overview of data engineering practices.
- Q: Who are the authors of this book? A: The authors of 'Fundamentals of Data Engineering' are Joe Reis and Matt Housley, both experienced professionals in the field of data engineering.
- Q: What is the publication date of this book? A: The book was published on July 26, 2022.
- Q: Is this book suitable for beginners in data engineering? A: Yes, the book is designed to be practical and accessible, making it suitable for beginners as well as professionals looking to deepen their understanding of data engineering.
- Q: How many pages does 'Fundamentals of Data Engineering' have? A: The book contains 447 pages, providing in-depth coverage of various data engineering topics.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: Can I use this book for self-study? A: Yes, this book is well-suited for self-study, offering structured content and practical examples to help readers learn independently.
- Q: Does the book include real-world examples? A: Yes, the authors provide practical examples to illustrate the concepts discussed, making it easier for readers to apply the knowledge in real-world scenarios.
- Q: What is the main goal of this book? A: The main goal of 'Fundamentals of Data Engineering' is to help readers design and build robust data systems that meet the needs of their organizations and customers.
- Q: Is there a focus on data governance in this book? A: Yes, the book emphasizes the importance of data governance and security throughout the data engineering lifecycle.