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Master Data Management In Practice


Master Data Management In Practice
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Master Data Management In Practice


Master Data Management In Practice
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Author : Dalton Cervo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-25

Master Data Management In Practice written by Dalton Cervo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-25 with Business & Economics categories.


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, graphs, and charts, in planning, implementing, and managing MDM.



Master Data Management In Practice


Master Data Management In Practice
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Author : Dalton Cervo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-05

Master Data Management In Practice written by Dalton Cervo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-05 with Business & Economics categories.


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, graphs, and charts, in planning, implementing, and managing MDM.



Multi Domain Master Data Management


Multi Domain Master Data Management
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Author : Mark Allen
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 2015-03-25

Multi Domain Master Data Management written by Mark Allen and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Business & Economics categories.


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.



Master Data Management


Master Data Management
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Author : David Loshin
language : en
Publisher: Morgan Kaufmann
Release Date : 2010-07-28

Master Data Management written by David Loshin and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-28 with Computers categories.


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 and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to "master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure



Dmf Practice Questions For Cdmp Data Management Fundamentals Certification


Dmf Practice Questions For Cdmp Data Management Fundamentals Certification
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Author : Dormouse Quillsby
language : en
Publisher: Dormouse Quillsby
Release Date :

Dmf Practice Questions For Cdmp Data Management Fundamentals Certification written by Dormouse Quillsby and has been published by Dormouse Quillsby this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


NotJustExam - DMF Practice Questions for CDMP Data Management Fundamentals Certification #Master the Exam #Detailed Explanations #Online Discussion Summaries #AI-Powered Insights Struggling to find quality study materials for the CDMP Certified Data Management Fundamentals (DMF) exam? Our question bank offers over 110+ carefully selected practice questions with detailed explanations, insights from online discussions, and AI-enhanced reasoning to help you master the concepts and ace the certification. Say goodbye to inadequate resources and confusing online answers—we’re here to transform your exam preparation experience! Why Choose Our DMF Question Bank? Have you ever felt that official study materials for the DMF exam don’t cut it? Ever dived into a question bank only to find too few quality questions? Perhaps you’ve encountered online answers that lack clarity, reasoning, or proper citations? We understand your frustration, and our DMF certification prep is designed to change that! Our DMF question bank is more than just a brain dump—it’s a comprehensive study companion focused on deep understanding, not rote memorization. With over 110+ expertly curated practice questions, you get: 1. Question Bank Suggested Answers – Learn the rationale behind each correct choice. 2. Summary of Internet Discussions – Gain insights from online conversations that break down complex topics. 3. AI-Recommended Answers with Full Reasoning and Citations – Trust in clear, accurate explanations powered by AI, backed by reliable references. Your Path to Certification Success This isn’t just another study guide; it’s a complete learning tool designed to empower you to grasp the core concepts of Data Management Fundamentals. Our practice questions prepare you for every aspect of the DMF exam, ensuring you’re ready to excel. Say goodbye to confusion and hello to a confident, in-depth understanding that will not only get you certified but also help you succeed long after the exam is over. Start your journey to mastering the CDMP Certified: Data Management Fundamentals certification today with our DMF question bank! Learn more: CDMP Certified: Data Management Fundamentals https://cdmp.info/product/31416/



Data Management A Gentle Introduction


Data Management A Gentle Introduction
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Author : Bas van Gils
language : en
Publisher: Van Haren
Release Date : 2020-03-03

Data Management A Gentle Introduction written by Bas van Gils and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Architecture categories.


The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.



Enterprise Master Data Management


Enterprise Master Data Management
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Author : Allen Dreibelbis
language : en
Publisher: Pearson Education
Release Date : 2008-06-05

Enterprise Master Data Management written by Allen Dreibelbis and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-05 with Business & Economics categories.


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 technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration



Building Cloud Data Platforms Solutions


Building Cloud Data Platforms Solutions
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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :

Building Cloud Data Platforms Solutions written by Anouar BEN ZAHRA and has been published by Anouar BEN ZAHRA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.



Advances In Conceptual Modeling Theory And Practice


Advances In Conceptual Modeling Theory And Practice
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Author : John F. Roddick
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-24

Advances In Conceptual Modeling Theory And Practice written by John F. Roddick and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-24 with Business & Economics categories.


This book constitutes the refereed joint proceedings of seven international workshops held in conjunction with the 25th International Conference on Conceptual Modeling, ER 2006, in Tucson, AZ, USA in November 2006. The 39 revised full papers presented together with the outlines of three tutorials were carefully reviewed and selected from 95 submissions.



Cobit 5 Enabling Information


Cobit 5 Enabling Information
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Author : ISACA
language : en
Publisher: ISACA
Release Date : 2013-10-10

Cobit 5 Enabling Information written by ISACA and has been published by ISACA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-10 with Technology & Engineering categories.