Entity Information Life Cycle for Big Data

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Download book entitled Entity Information Life Cycle for Big Data by John R. Talburt and published by Morgan Kaufmann Pub in PDF, EPUB and Kindle. Read Entity Information Life Cycle for Big Data book directly from your devices anywhere anytime. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : Morgan Kaufmann Pub
  • Release : 23 April 2015
  • ISBN : 0128005378
  • Page : 254 pages
  • Rating : 4.5/5 from 103 voters

Entity Information Life Cycle for Big Data Book PDF summary

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

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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 Date : 2015-04-23
  • ISBN : 0128005378
DOWNLOAD BOOKEntity 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
  • Release Date : 2015-04-20
  • ISBN : 9780128006658
DOWNLOAD BOOKEntity 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

Advances in Data Science and Information Engineering

Advances in Data Science and Information Engineering
  • Author : Robert Stahlbock,Gary M. Weiss,Mahmoud Abou-Nasr,Cheng-Ying Yang,Hamid R. Arabnia,Leonidas Deligiannidis
  • Publisher : Springer Nature
  • Release Date : 2021-10-29
  • ISBN : 9783030717049
DOWNLOAD BOOKAdvances in Data Science and Information Engineering

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering,

Information Technology: New Generations

Information Technology: New Generations
  • Author : Shahram Latifi
  • Publisher : Springer
  • Release Date : 2016-03-28
  • ISBN : 9783319324678
DOWNLOAD BOOKInformation Technology: New Generations

This book collects articles presented at the 13th International Conference on Information Technology- New Generations, April, 2016, in Las Vegas, NV USA. It includes over 100 chapters on critical areas of IT including Web Technology, Communications, Security, and Data Mining.

Advances in Information and Communication

Advances in Information and Communication
  • Author : Kohei Arai
  • Publisher : Springer Nature
  • Release Date : 2021-04-15
  • ISBN : 9783030731038
DOWNLOAD BOOKAdvances in Information and Communication

This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies.

Executing Data Quality Projects

Executing Data Quality Projects
  • Author : Danette McGilvray
  • Publisher : Academic Press
  • Release Date : 2021-05-27
  • ISBN : 9780128180167
DOWNLOAD BOOKExecuting Data Quality Projects

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for

Information Quality in Information Fusion and Decision Making

Information Quality in Information Fusion and Decision Making
  • Author : Éloi Bossé,Galina L. Rogova
  • Publisher : Springer
  • Release Date : 2019-04-02
  • ISBN : 9783030036430
DOWNLOAD BOOKInformation 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,

Data Governance and Compliance

Data Governance and Compliance
  • Author : Rupa Mahanti
  • Publisher : Springer Nature
  • Release Date : 2021-04-27
  • ISBN : 9789813368774
DOWNLOAD BOOKData Governance and Compliance

This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations,