MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02737nam a2200337 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251117101029.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251106b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789355421548 |
| Qualifying information |
(paperback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Description conventions |
rda |
| Original cataloging agency |
SAIU |
| Modifying agency |
SAIU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
005.743 |
| 100 10 - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Reis, Joe |
| Fuller form of name |
(Joseph), |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Fundamentals of data engineering : |
| Remainder of title |
plan and build robust data systems / |
| Statement of responsibility, etc |
Joe Reis and Matt Housley. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| Remainder of edition statement |
7th Indian reprint 2025 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
India : |
| Name of publisher, distributor, etc |
Shroff / O'Reilly Media, |
| Date of publication, distribution, etc |
2022. |
| 264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
India : |
| Name of producer, publisher, distributor, manufacturer |
Shroff / O'Reilly Media, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 264 4# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 407 pages : |
| Other physical details |
illustrations (black and white) ; |
| Dimensions |
24 cm. |
| 336 ## - Content type term (R) |
|---|
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
|---|
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Data engineering described -- The data engineering lifecycle -- Designing good data architecture -- Choosing technologies across the data engineering lifecycle -- Data generation in source systems -- Storage -- Ingestion -- Queries, modeling, and transformation -- Serving data for analytics, machine learning, and reverse ETL -- Security and privacy -- The future of data engineering. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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 will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in 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 will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment 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 data 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. |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Database design |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer architecture |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Database management |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Housley, Matthew L., |
| Dates associated with a name |
1977- |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
