Pro Hadoop Data Analytics (Record no. 447511)

MARC details
000 -LEADER
fixed length control field 05347nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-1-4842-1910-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210118130714.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161229s2017 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484219102
-- 978-1-4842-1910-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-1910-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.B45
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Koitzsch, Kerry.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Pro Hadoop Data Analytics
Medium [electronic resource] :
Remainder of title Designing and Building Big Data Systems using the Hadoop Ecosystem /
Statement of responsibility, etc by Kerry Koitzsch.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
264 #1 -
-- Berkeley, CA :
-- Apress :
-- Imprint: Apress,
-- 2017.
300 ## - PHYSICAL DESCRIPTION
Extent XXI, 298 p. 161 illus., 152 illus. in color.
Other physical details online resource.
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-- computer
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-- online resource
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-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Overview: Building Data Analytic Systems with Hadoop -- Chapter 2: A Scala and Python Refresher -- Chapter 3: Standard Toolkits for Hadoop and Analytics -- Chapter 4: Relational, noSQL, and Graph Databases -- Chapter 5: Data Pipelines and How to Construct Them -- Chapter 6: Advanced Search Techniques with Hadoop, Lucene, and Solr -- Chapter 7: An Overview of Analytical Techniques and Algorithms -- Chapter 8: Rule Engines, System Control, and System Orchestration -- Chapter 9: Putting it All Together: Designing a Complete Analytical System -- Chapter 10: Data Visualizers: Seeing and Interacting with the Analysis -- Chapter 11: A Case Study in Bioinformatics: Analyzing Microscope Slide Data -- Chapter 12: A Bayesian Analysis Software Component: Identifying Credit Card Fraud -- Chapter 13: Searching for Oil: Geological Data Analysis with Mahout -- Chapter 14: ‘Image as Big Data’ Systems: Some Case Studies -- Chapter 15: A Generic Data Pipeline Analytical System -- Chapter 16: Conclusions and The Future of Big Data Analysis.
520 ## - SUMMARY, ETC.
Summary, etc Learn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of classification, clustering, and recommendation. In Pro Hadoop Data Analytics best practices are emphasized to ensure coherent, efficient development. A complete example system will be developed using standard third-party components which will consist of the toolkits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system. The book emphasizes four important topics: The importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. Deep-dive topics will include Spark, H20, Vopal Wabbit (NLP), Stanford NLP, and other appropriate toolkits and plugins. Best practices and structured design principles. This will include strategic topics as well as the how to example portions. The importance of mix-and-match or hybrid systems, using different analytical components in one application to accomplish application goals. The hybrid approach will be prominent in the examples. Use of existing third-party libraries is key to effective development. Deep dive examples of the functionality of some of these toolkits will be showcased as you develop the example system. .
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available to subscribing member institutions only. Доступно лише організаціям членам підписки.
506 ## - RESTRICTIONS ON ACCESS NOTE
Standardized terminology for access restriction Online access from local network of NaUOA.
506 ## - RESTRICTIONS ON ACCESS NOTE
Standardized terminology for access restriction Online access with authorization at https://link.springer.com/
506 ## - RESTRICTIONS ON ACCESS NOTE
Standardized terminology for access restriction Онлайн-доступ з локальної мережі НаУОА.
506 ## - RESTRICTIONS ON ACCESS NOTE
Standardized terminology for access restriction Онлайн доступ з авторизацією на https://link.springer.com/
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer programming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming languages (Electronic computers).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big Data.
-- http://scigraph.springernature.com/things/product-market-codes/I29120
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming Techniques.
-- http://scigraph.springernature.com/things/product-market-codes/I14010
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming Languages, Compilers, Interpreters.
-- http://scigraph.springernature.com/things/product-market-codes/I14037
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
-- http://scigraph.springernature.com/things/product-market-codes/I18030
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781484219096
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781484219119
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781484240564
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-1-4842-1910-2">https://doi.org/10.1007/978-1-4842-1910-2</a>
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Koha item type ЕКнига

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