Fundamentals of data engineering : (Record no. 9529)

MARC details
000 -LEADER
fixed length control field 01905nam a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230621s9999||||xx |||||||||||||| ||und||
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355421548 (pbk.)
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6782
Item number REI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Reis, Joe
245 #0 - TITLE STATEMENT
Title Fundamentals of data engineering :
Remainder of title plan and build robust data systems
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Sebastopol
Name of publisher, distributor, etc. O'Reilly Media Inc.
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xix, 422p.,
500 ## - GENERAL NOTE
General note https://www.shroffpublishers.com/books/9789355421548/
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'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 Show and hide more
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Housley, Matt
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 2939
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 399
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 3216
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9104
942 ## - ADDED ENTRY ELEMENTS (KOHA)
-- 004.6782 REI
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code bill no. bill date Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Computer science 87/23-24 24/05/2023 Plaksha University Library Plaksha University Library 21/06/2023 T V Enterprises 1750.00   004.6782 REI 004206 09/07/2023 21/06/2023 Book

Customize & Implimented by Jivesna Tech.

Total Visits to Site Till Date:best free website hit counter

Powered by Koha