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Fundamentals of Data Engineering Plan and Build Robust Data Systems
US $60.33
ApproximatelyS$ 77.46
Condition:
Brand New
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eBay item number:285499065373
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- EAN
- 9781098108304
- ISBN
- 9781098108304
- Package Dimensions LxWxH
- 9.29x7.09x1.06 Inches
- Weight
- 1.65 Pounds
- MPN
- Does not apply
- Model
- Does not apply
- Brand
- None
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1098108302
ISBN-13
9781098108304
eBay Product ID (ePID)
17057251431
Product Key Features
Number of Pages
400 Pages
Publication Name
Fundamentals of Data Engineering : Plan and Build Robust Data Systems
Language
English
Subject
Data Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Mining
Publication Year
2022
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
27 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
LCCN
2023-275148
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.743
Synopsis
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
LC Classification Number
QA76.9
Item description from the seller
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Seller feedback (5,335)
- t***7 (46)- Feedback left by buyer.Past monthVerified purchaseThank you!
- 4***6 (354)- Feedback left by buyer.Past monthVerified purchaseSeller couldn't locate the shoes I purchased. They didn't say anything till i reached out... So refunded my money. Waste of time.
- i***1 (13)- Feedback left by buyer.Past monthVerified purchaseSeller does not actually have these sandals. Good luck.Reply from: nelagarments- Feedback replied by seller nelagarments.- Feedback replied by seller nelagarments.We do not ship shoes to freight forwarders. You ordered twice when we told you there was an address issue.