Data science on the Google Cloud Platform : (Record no. 1479)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
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003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240224162538.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230124s2022 mau 000 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2022439566
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC244268
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020518055
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098118952
Qualifying information (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098118952
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)on1308488176
040 ## - CATALOGING SOURCE
Original cataloging agency UKMGB
Language of cataloging eng
Transcribing agency UKMGB
Description conventions rda
Modifying agency OCLCO
-- UKMGB
-- OCLCF
-- TOH
-- IVV
-- NVC
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042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.585
Item number .L35 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6782 LAK
Edition number 23
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Edition number 0
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lakshmanan, Valliappa,
Relator term author.
245 10 - TITLE STATEMENT
Title Data science on the Google Cloud Platform :
Remainder of title implementing end-to-end real-time data pipelines : from ingest to machine learning /
Statement of responsibility, etc. Valliappa Lakshmanan.
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer O'Reilly,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 440 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
500 ## - GENERAL NOTE
General note Previous edition: Sebastopol: O'Reilly, 2018.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cloud computing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing platforms.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Infonuagique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Plateformes (Informatique)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cloud computing.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01745899
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing platforms.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01893329
887 ## - NON-MARC INFORMATION FIELD
Source of data CamTech Library
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No

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