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Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann
  • Release : 21 March 2015
GET THIS BOOKMulti-Domain Master Data Management

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of

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Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann Publishers
  • Release : 25 March 2015
GET THIS BOOKMulti-Domain Master Data Management

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.

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Master Data Management in Practice

Master Data Management in Practice
  • Author : Dalton Cervo,Mark Allen
  • Publisher : John Wiley & Sons
  • Release : 05 July 2011
GET THIS BOOKMaster Data Management in Practice

In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables,

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Enterprise Master Data Management

Enterprise Master Data Management
  • Author : Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Martin Oberhofer,Paul van Run,Dan Wolfson
  • Publisher : Pearson Education
  • Release : 05 June 2008
GET THIS BOOKEnterprise Master Data Management

The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM

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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
  • Author : Alex Berson,Larry Dubov
  • Publisher : McGraw Hill Professional
  • Release : 06 December 2010
GET THIS BOOKMASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of

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Master Data Management

Master Data Management
  • Author : David Loshin
  • Publisher : Morgan Kaufmann
  • Release : 28 July 2010
GET THIS BOOKMaster Data Management

The key to a successful MDM initiative isn’t technology or methods, it’s people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you’ll master all the details involved in planning

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The Enterprise Big Data Lake

The Enterprise Big Data Lake
  • Author : Alex Gorelik
  • Publisher : "O'Reilly Media, Inc."
  • Release : 21 February 2019
GET THIS BOOKThe Enterprise Big Data Lake

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the

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Managing Data in Motion

Managing Data in Motion
  • Author : April Reeve
  • Publisher : Newnes
  • Release : 26 February 2013
GET THIS BOOKManaging Data in Motion

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of

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Frontiers in Massive Data Analysis

Frontiers in Massive Data Analysis
  • Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
  • Publisher : National Academies Press
  • Release : 03 September 2013
GET THIS BOOKFrontiers in Massive Data Analysis

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive

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The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
  • Author : David Loshin
  • Publisher : Elsevier
  • Release : 22 November 2010
GET THIS BOOKThe Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at

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Becoming a Sustainable Organization

Becoming a Sustainable Organization
  • Author : Kristina Kohl
  • Publisher : CRC Press
  • Release : 21 April 2016
GET THIS BOOKBecoming a Sustainable Organization

Organizations find that a performance gap exists between sustainability vision and benefits realization. Effecting transformational change requires incorporating sustainability into organization's culture including policies, processes, and people. Although they are often overlooked, project management professionals and HR professionals are valuable

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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
  • Release : 20 April 2015
GET THIS 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

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