Fundamentals of Data Engineering Plan and Build Robust Data Systems (Record no. 814505)

MARC details
000 -LEADER
fixed length control field 01697nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240103s2022 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098108304
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781098108304
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6782
Item number REI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Reis, Joe
9 (RLIN) 879553
Relator term author
245 ## - TITLE STATEMENT
Title Fundamentals of Data Engineering Plan and Build Robust Data Systems
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Beijing :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2022
300 ## - PHYSICAL DESCRIPTION
Extent xix, 422 p.
Other physical details : ill
500 ## - GENERAL NOTE
General note AUTHOR <br/><br/>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.<br/>
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. summary<br/><br/>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.<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 844
Topical term or geographic name entry element Data Mining
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 614
Topical term or geographic name entry element Big Data
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 152430
Topical term or geographic name entry element Database Management
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Housley, Matt
9 (RLIN) 879554
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098108304.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098108304.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/">https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Reference Section Reference Section Reference Section 01/01/2024 22 Purchased 23221.82   004.6782 REI 98528 16/02/2024 2023-24 27319.79 01/01/2024 Reference Collection