Fundamentals of data engineering : plan and build robust data systems (Record no. 542366)

MARC details
000 -LEADER
fixed length control field 01969nam a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240825s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789355421548
Paper back/Hardbound pbk
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Item number REI
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Reis, Joe
245 #0 - TITLE STATEMENT
Title Fundamentals of data engineering : plan and build robust data systems
Statement of responsibility, etc / Joe Reis, Matthew L. Housley
250 ## - EDITION STATEMENT
Edition statement 1st edition
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Year of publication 2023
Place of publication Beijing [China],
Name of publisher O'Reilly,
300 ## - PHYSICAL DESCRIPTION
Number of Pages xix, 422 pages :
Other physical details black and white illustrations ;
Dimensions 23 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes index
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."-- Back cover<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science Big data COMPUTERS / Data Science / Data Modeling & Design Computer architecture Database design
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Full call number Accession Number Price effective from Koha item type Copy number
        Anna Centenary Library Anna Centenary Library 3RD FLOOR, A WING 17.06.2024 1750.00 005.74 REI 692138 17.06.2024 Reference  
        Anna Centenary Library Anna Centenary Library 3RD FLOOR, A WING 17.06.2024 1750.00 005.74 REI;1 692139 17.06.2024 English Books 1

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