Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Reis

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
Book Title
Fundamentals of Data Engineering: Plan and Build Robust Data Sys,
Topic
Data Modeling & Design
Narrative Type
Data Modeling & Design
Genre
N/A
Intended Audience
N/A
ISBN
9781098108304
Category

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
447 Pages
Language
English
Publication Name
Fundamentals of Data Engineering : Plan and Build Robust Data Systems
Subject
Data Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Mining
Publication Year
2022
Type
Textbook
Subject Area
Computers
Author
Joe Reis, Matt Housley
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

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