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Details Note: There are multiple files available for this download. Once you click on the "Download" button, you will be prompted to select the files you need. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods.
Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.
Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance.
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. 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. 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.
The author wrote it for anyone with a minimum knowledge of architecture, or those determined to profit from the strategic advantages of a "Single Source of Truth. This book is organized in three sections, each tailored to individual needs for knowledge. Readers familiar with those concepts can explore the second section, designed to provide information on MDM architecture, Data Conversion Methodolgy and the Syndication Methodology. In the final section, this book delivers comprehensive instructions for Table Configurations, Validations, Assignments, Workflows, Match and Merge Strategies and Tuples.
All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers.
However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available?
How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data?
What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.
Based on extensive research, this lays out the thinking of the most successful Master data management knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Master data management innovation - INCLUDED are numerous real-world Master data management blueprints, presentations and templates ready for you to access and use.
Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What is the best master data management software right now?
What is master data management software? What are the biggest challenges in master data management MDM? What are some of the Master Data Management architecture patterns? Enterprise Architecture: What is master data management? What is master data management in SAP? How can I secure a master data management system? Fixed few rarely happening crashes. Headwind MDM works correctly if not set as a default launcher.
Removed unnecessary permission requests at first start. Fixed an issue with reading and writing of files on the external storage on some device models. MQTT service is made foreground to avoid losing connection with the server.
Fixed a flow of forcing configuration update when a device lost the MQTT connection. This version includes new HeadwindMDM class simplifying integration and encapsulating automatic reconnection to the service.
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