Entity Information Life Cycle for Big Data

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  • Author : John R. Talburt
  • Publisher : Morgan Kaufmann
  • Pages : 254 pages
  • ISBN : 012800665X
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Entity Information Life Cycle for Big Data

Download or Read online Entity Information Life Cycle for Big Data full in PDF, ePub and kindle. this book written by John R. Talburt and published by Morgan Kaufmann which was released on 20 April 2015 with total page 254 pages. We cannot guarantee that Entity Information Life Cycle for Big Data book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems Offers practical guidance to help you design and build an EIM system that will successfully handle big data Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
  • Author : John R. Talburt,Yinle Zhou
  • Publisher : Morgan Kaufmann
  • Release : 20 April 2015
GET THIS BOOK Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
  • Author : John Talburt,Yinle Zhou
  • Publisher : Unknown
  • Release : 17 September 2021
GET THIS BOOK Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
  • Author : John R. Talburt,Yinle Zhou
  • Publisher : Morgan Kaufmann Pub
  • Release : 23 April 2015
GET THIS BOOK Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide

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  • Publisher : IGI Global
  • Release : 05 January 2018
GET THIS BOOK Handbook of Research on Big Data Storage and Visualization Techniques

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that

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  • Publisher : Springer Nature
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GET THIS BOOK Advances in Information and Communication

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  • Publisher : Springer Nature
  • Release : 27 April 2021
GET THIS BOOK Data Governance and Compliance

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  • Publisher : Springer
  • Release : 02 April 2019
GET THIS BOOK Information Quality in Information Fusion and Decision Making

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity,

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  • Publisher : John Wiley & Sons
  • Release : 04 September 2018
GET THIS BOOK Analytic Methods in Systems and Software Testing

A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and

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  • Author : Yong Li
  • Publisher : AuthorHouse
  • Release : 14 May 2016
GET THIS BOOK Implementation of Anti Money Laundering Information Systems

This book is intended for compliance professionals, IT professionals, and business stakeholders who are working on anti-money laundering (AML) or financial crime risk management information systems implementation. This book focuses on the AML information systems technical implementation, especially the implementation/project planning, and current state, future state, gap analysis, as well some technical solutions and practical approaches. Most topics discussed in this book are for banks in the United States and Canada, but the principles and frameworks mentioned in the

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  • Publisher : Springer
  • Release : 12 September 2018
GET THIS BOOK Cloud Computing and Security

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  • Publisher : Packt Publishing Ltd
  • Release : 26 November 2015
GET THIS BOOK Data Lake Development with Big Data

Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This Book Comprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architecture Efficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalability Packed with industry best practices and use-case scenarios to get you up-and-running Who This Book Is