Fundamentals of Data Engineering: Plan and Build Robust Data Systems
$79.99
1126 in stock
Refresh Stock LevelInformation
Shipping
We currently offer free shipping on all orders over $100. Standard media mail shipping is $7.50 plus $1 for each additional book. Electronics are $35 shipping on all items.
Books
We get our books from a national distributor and although we strive to present up to date stock counts, stock constantly fluctuates. We perform a stock check when you add your book to the cart to ensure that it is available for shipping from the distributor. You can also check stock status by clicking the refresh stock link on the product page for the most up to date stock at the distributor. If an item is on backorder, you may place an order and we will update you on the estimated ship date as soon as we can confirm with the distributor.
Return & exchange
If you are not satisfied with your purchase you can return it to us within 14 days for an exchange or refund. More info.
Assistance
Can’t find what you’re looking for? We have access to over 13 million titles, reach out and see if we can help!
Contact us on (575) 322-6867, or email us at business@rabsbooks.com.
| Weight | 1.57 lbs |
|---|---|
| Dimensions | 9.19 × 7 × 0.91 in |
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
O’Reilly Media
Reviews
There are no reviews yet.