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Author Dinsmore, Thomas W.

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

Publication Info. [Berkeley, CA] Apress/Springer Science and Business Media : Apress, 2016.

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Location Call No. OPAC Message Status
 Axe Books 24x7 Business E-Book  Electronic Book    ---  Available
Description 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
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.
Bibliography Includes bibliographical references and index.
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. -- Edited summary from book.
Subject Business analysts.
Management science.
Knowledge management.
Management information systems.
Data mining.
Information retrieval.
Computer simulation.
BUSINESS & ECONOMICS -- Management.
BUSINESS & ECONOMICS -- Reference.
BUSINESS & ECONOMICS -- Skills.
Business analysts. (OCoLC)fst01743911
Computer simulation. (OCoLC)fst00872518
Data mining. (OCoLC)fst00887946
Information retrieval. (OCoLC)fst00972619
Knowledge management. (OCoLC)fst00988184
Management information systems. (OCoLC)fst01007271
Management science. (OCoLC)fst01007306
Business and Management.
Business Information Systems.
Business and Management, general.
Knowledge Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Simulation and Modeling.
Genre/Form Electronic books.
Other Form: Print version: Dinsmore, Thomas W. Disruptive analytics. [Berkeley, CA] Apress/Springer Science and Business Media : Apress, 2016 1484213122 9781484213124 (OCoLC)920726800
ISBN 1484213114 (electronic bk.)
9781484213117 (electronic bk.)
1484213122
9781484213124
Standard No. 10.1007/978-1-4842-1311-7 doi
AU@ 000058871488
DKDLA 820120-katalog:000744988

 
    
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