Disruptive analytics : charting your strategy for next-generation business analytics /: charting your strategy for next-generation business analytics. (2016)
- Record Type:
- Book
- Title:
- Disruptive analytics : charting your strategy for next-generation business analytics /: charting your strategy for next-generation business analytics. (2016)
- Main Title:
- Disruptive analytics : charting your strategy for next-generation business analytics
- Further Information:
- Note: By Thomas W. Dinsmore.
- Other Names:
- Dinsmore, Thomas W
- 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;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. … (more)
- Publisher Details:
- Berkeley, CA : Apress/Springer Science and Business Media Apress
- Publication Date:
- 2016
- Extent:
- 1 online resource
- Subjects:
- 650
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
Computer simulation
Data mining
Information retrieval
Knowledge management
Management information systems
Management science
Business and Management
Business Information Systems
Business and Management, general
Knowledge Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Simulation and Modeling
Electronic books - Languages:
- English
- ISBNs:
- 1484213114
9781484213117 - Related ISBNs:
- 1484213122
9781484213124 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.379032
- Ingest File:
- 02_360.xml