Coverart for item
The Resource Disruptive analytics : charting your strategy for next-generation business analytics, by Thomas W. Dinsmore

Disruptive analytics : charting your strategy for next-generation business analytics, by Thomas W. Dinsmore

Label
Disruptive analytics : charting your strategy for next-generation business analytics
Title
Disruptive analytics
Title remainder
charting your strategy for next-generation business analytics
Statement of responsibility
by Thomas W. Dinsmore
Creator
Subject
Language
eng
Summary
Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. --
Assigning source
Edited summary from book
Cataloging source
IDEBK
http://library.link/vocab/creatorName
Dinsmore, Thomas W
Dewey number
650
Index
index present
LC call number
  • HF4999.2-6182
  • HD69.B87
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Business analysts
  • Management science
  • Knowledge management
  • Management information systems
  • Data mining
  • Information retrieval
  • Computer simulation
  • BUSINESS & ECONOMICS
  • BUSINESS & ECONOMICS
  • BUSINESS & ECONOMICS
  • Business analysts
  • Computer simulation
  • Data mining
  • Information retrieval
  • Knowledge management
  • Management information systems
  • Management science
Label
Disruptive analytics : charting your strategy for next-generation business analytics, by Thomas W. Dinsmore
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Fundamentals; Disruptive Innovation; The Demand for Data-Driven Insight; Developing a Business Strategy; Managing a Business Unit; Optimizing Business Processes; Developing Products and Services; Differentiating Products and Services; The Analytics Value Chain; Acquiring Data; Data Sources; Data Extraction; Data Cleansing; Data Structuring; Data Consolidation; Managing Data; Delivering Insight; Business Intelligence; Self-Service Discovery; Machine Learning; Overview of the Book
  • Chapter 2: A Short History of AnalyticsBefore the Data Warehouse; Birth of the Relational Database; Early Business Intelligence; Early Statistics and Machine Learning; Disruptive Analytics: Credit Scoring; The Data Warehouse Era; The Enterprise Data Warehouse Movement; Appliances and Columnar Datastores; MOLAP and ROLAP; Statistics, Machine Learning, and Data Mining; Disruptive Analytics: Fraud Detection; Key Trends Today; Digital Transformation of Business; The Data Tsunami; Summary; Chapter 3: Open Source Analytics; Open Source Fundamentals; Definitions; Project Governance
  • Open Source LicensesCode Management and Distribution; Donated Software; The Business of Open Source; Community Open Source; Commercial and Hybrid Open Source; Open Source Analytics; The R Project; Python; Scala; The Disruptive Power of Open Source; Chapter 4: The Hadoop Ecosystem; Hadoop and its Ecosystem; Apache Hadoop; Hadoop 2.0; Powered by Hadoop; Performance Improvements; The Economics of Hadoop; NoSQL Datastores; Analytics in Hadoop; Hadoop 1.0; Apache Hive; Apache Pig; Apache Mahout; Apache Giraph; Datameer; Hadoop 2.0; Apache Spark; Apache Impala; Apache Drill; Presto; Summary
  • Chapter 5: In-Memory AnalyticsIn-Memory Databases; Apache Spark; Capabilities; SQL Processing; Streaming Analytics; Machine Learning; Graph Analytics; Spark in Action; Apache Arrow; Alluxio; Apache Ignite; The New In-Memory Analytics; Chapter 6: Streaming Analytics; A Short History of Streaming Analytics; Fundamentals of Streaming Analytics; Stream Processing; Streaming Operations; Complex Event Processing; Streaming Machine Learning; Anomaly Detection; Streaming Data Sources; Apache ActiveMQ; Apache Kafka; Amazon Kinesis; RabbitMQ; Streaming Analytics Platforms; Apache Apex; Apache Flink
  • Apache SamzaApache Spark Streaming; Apache Storm; Streaming Analytics in Action; Streaming Economics; Chapter 7: Analytics in the Cloud; Cloud Computing Fundamentals; The Business Case for Cloud; Cloud Economics; Data Movement; Security; Analytics in the Public Cloud; Amazon Web Services; Storage Services; Compute Services; Hadoop Services; Database Services; Business Intelligence Services; Machine Learning Services; Marketplace; Microsoft Azure; Storage Services; Compute Services; Hadoop Services; Database Services; Business Intelligence Services; Machine Learning Services
Control code
957655955
Extent
1 online resource
Form of item
online
Isbn
9781484213117
Lccn
2016950565
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-1311-7
  • 10.1007/978-1-4842-1
http://library.link/vocab/ext/overdrive/overdriveId
950797
Specific material designation
remote
System control number
(OCoLC)957655955
Label
Disruptive analytics : charting your strategy for next-generation business analytics, by Thomas W. Dinsmore
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Fundamentals; Disruptive Innovation; The Demand for Data-Driven Insight; Developing a Business Strategy; Managing a Business Unit; Optimizing Business Processes; Developing Products and Services; Differentiating Products and Services; The Analytics Value Chain; Acquiring Data; Data Sources; Data Extraction; Data Cleansing; Data Structuring; Data Consolidation; Managing Data; Delivering Insight; Business Intelligence; Self-Service Discovery; Machine Learning; Overview of the Book
  • Chapter 2: A Short History of AnalyticsBefore the Data Warehouse; Birth of the Relational Database; Early Business Intelligence; Early Statistics and Machine Learning; Disruptive Analytics: Credit Scoring; The Data Warehouse Era; The Enterprise Data Warehouse Movement; Appliances and Columnar Datastores; MOLAP and ROLAP; Statistics, Machine Learning, and Data Mining; Disruptive Analytics: Fraud Detection; Key Trends Today; Digital Transformation of Business; The Data Tsunami; Summary; Chapter 3: Open Source Analytics; Open Source Fundamentals; Definitions; Project Governance
  • Open Source LicensesCode Management and Distribution; Donated Software; The Business of Open Source; Community Open Source; Commercial and Hybrid Open Source; Open Source Analytics; The R Project; Python; Scala; The Disruptive Power of Open Source; Chapter 4: The Hadoop Ecosystem; Hadoop and its Ecosystem; Apache Hadoop; Hadoop 2.0; Powered by Hadoop; Performance Improvements; The Economics of Hadoop; NoSQL Datastores; Analytics in Hadoop; Hadoop 1.0; Apache Hive; Apache Pig; Apache Mahout; Apache Giraph; Datameer; Hadoop 2.0; Apache Spark; Apache Impala; Apache Drill; Presto; Summary
  • Chapter 5: In-Memory AnalyticsIn-Memory Databases; Apache Spark; Capabilities; SQL Processing; Streaming Analytics; Machine Learning; Graph Analytics; Spark in Action; Apache Arrow; Alluxio; Apache Ignite; The New In-Memory Analytics; Chapter 6: Streaming Analytics; A Short History of Streaming Analytics; Fundamentals of Streaming Analytics; Stream Processing; Streaming Operations; Complex Event Processing; Streaming Machine Learning; Anomaly Detection; Streaming Data Sources; Apache ActiveMQ; Apache Kafka; Amazon Kinesis; RabbitMQ; Streaming Analytics Platforms; Apache Apex; Apache Flink
  • Apache SamzaApache Spark Streaming; Apache Storm; Streaming Analytics in Action; Streaming Economics; Chapter 7: Analytics in the Cloud; Cloud Computing Fundamentals; The Business Case for Cloud; Cloud Economics; Data Movement; Security; Analytics in the Public Cloud; Amazon Web Services; Storage Services; Compute Services; Hadoop Services; Database Services; Business Intelligence Services; Machine Learning Services; Marketplace; Microsoft Azure; Storage Services; Compute Services; Hadoop Services; Database Services; Business Intelligence Services; Machine Learning Services
Control code
957655955
Extent
1 online resource
Form of item
online
Isbn
9781484213117
Lccn
2016950565
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-1311-7
  • 10.1007/978-1-4842-1
http://library.link/vocab/ext/overdrive/overdriveId
950797
Specific material designation
remote
System control number
(OCoLC)957655955

Library Locations

    • Ellis LibraryBorrow it
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      38.944491 -92.326012
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      38.946102 -92.330125
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