Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition ISBN: 9781098108304
Original price was: $64.95.$44.99Current price is: $44.99.
Product Details
- Condition: New
- Publisher: O’Reilly Media
- Language: English
- Paperback: 447 pages
- ISBN: 9781098108304
- Item Weight: 2.31 pounds
- Dimensions: 7 x 1 x 9.25 inches
Description
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 end-to-end 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
Shipping, Return & Exchange
Shipping & Delivery:
– Normal Delivery: Estimated delivery time is 5 to 7 business days from the date of shipment.
– Express Delivery: Estimated delivery time is 3 to 5 business days from the date of shipment.
Returns & Exchange:
– Please refer to our Return and Exchange Policy for more details.
| Weight | 2.31 lbs |
|---|---|
| Dimensions | 17.78 × 2.54 × 23.495 in |
Eric Stanfield –
A very practical introduction to modern data engineering. It explains pipelines, storage, and system design in a clear and structured way.
Malcolm Ritchie –
Well written and easy to follow. The book connects concepts like data architecture and orchestration with real-world workflows.
Darren Whitlocke –
Helpful resource for understanding data engineering fundamentals.
Colin Bradfield –
This book gives a strong overview of designing and managing data systems. The explanations of infrastructure and scalability are especially useful.
Jerome Ashcroft –
A solid guide for engineers who want to understand how data platforms are planned and built. The practical insights make it valuable.
Trevor Lonsdale –
Very informative and organized. It explains complex topics like pipelines and storage in a straightforward way.
Leonard Carmichael –
Comprehensive and clear. The structured chapters make it easier to understand modern data engineering practices.