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 |