The cloud data lake : (Record no. 98121)

MARC details
000 -LEADER
fixed length control field 02020cam a22002777i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230831s2023 cc a 0|1 0 eng d
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC2K4880
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020807691
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355422569
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098116585
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74015
Cutter GOP
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gopalan, Rukmani,
245 14 - TITLE STATEMENT
Title The cloud data lake :
Remainder of title a guide to building robust cloud data architecture
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Mumbai
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd.
Date of publication, distribution, etc 2023
300 ## - PHYSICAL DESCRIPTION
Extent xv, 227 pages :
520 ## - Remark
Summary, etc More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights.<br/><br/>This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance.<br/><br/>Learn the benefits of a cloud-based big data strategy for your organization<br/>Get guidance and best practices for designing performant and scalable data lakes<br/>Examine architecture and design choices, and data governance principles and strategies<br/>Build a data strategy that scales as your organizational and business needs increase<br/>Implement a scalable data lake in the cloud• Use cloud-based advanced analytics to gain more value from your data
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cloud computing.
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 Databases.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cloud computing.
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer architecture.
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Databases.
Source of heading or term fast
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a Business Analytics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Programme Full call number Barcode Date last seen Cost, replacement price Koha item type
    Dewey Decimal Classification     Main Library Main Library Analytics 29/11/2023 6038 800.00   005.74015 GOP 119059 29/11/2023 1000.00 Book

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