IBM InfoSphere MDM (Master Data Management) Physical Domains refer to the actual physical storage of master data within the InfoSphere MDM system. In the context of InfoSphere MDM, a domain represents a logical grouping of master data attributes that pertain to a specific entity type, such as customers, products, or employees.
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Physical Data Model: InfoSphere MDM uses a physical data model to define how master data is stored in the underlying database. This model includes tables, columns, indexes, and other database objects that represent the structure of the master data.
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Entity Types: Each domain in InfoSphere MDM corresponds to a specific entity type, which represents a distinct category of master data within an organization. For example, you may have separate domains for customer data, product data, or supplier data.
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Attributes: Within each domain, you define a set of attributes that describe the characteristics of the entity type. These attributes capture various pieces of information about the master data, such as names, addresses, identifiers, and other relevant details.
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Physical Domains: In the context of InfoSphere MDM, physical domains refer to the actual storage containers for master data records within the database. Each physical domain corresponds to a specific entity type and maps to one or more tables in the physical data model.
Before diving into learning about IBM InfoSphere MDM (Master Data Management) Physical Domains, it's beneficial to have a foundational understanding of certain concepts and technologies. Here are some skills and knowledge areas that can help you make the most of your learning experience:
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Database Fundamentals: A solid understanding of database concepts is essential since InfoSphere MDM relies on storing master data in a relational database management system (RDBMS). Familiarize yourself with relational database concepts such as tables, indexes, primary keys, foreign keys, normalization, and SQL querying.
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Data Modeling: Knowledge of data modeling principles and techniques will be beneficial for understanding how master data is structured and organized within InfoSphere MDM. Learn about entity-relationship (ER) modeling, dimensional modeling, data modeling tools, and best practices for designing data models.
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Master Data Management (MDM) Concepts: Gain insights into MDM concepts, including data governance, data quality management, data stewardship, data integration, data cleansing, and data synchronization. Understand the importance of managing master data across the enterprise and its impact on business processes.
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IBM InfoSphere MDM Overview: Familiarize yourself with the basic features, components, and architecture of IBM InfoSphere MDM. Explore the various modules, functionalities, and capabilities offered by InfoSphere MDM, including data modeling, data governance, data integration, and data quality.
Learning about IBM InfoSphere MDM (Master Data Management) Physical Domains equips you with several skills and competencies that are valuable in the field of data management and enterprise IT. Here are some skills you can gain:
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Master Data Management (MDM) Knowledge: Understanding the concept of master data management, including its importance, principles, and best practices, is essential. You'll learn how MDM solutions like InfoSphere MDM enable organizations to maintain a single, accurate, and consistent view of master data across the enterprise.
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IBM InfoSphere MDM Platform: By studying Physical Domains within the InfoSphere MDM platform, you'll gain proficiency in using specific features, functionalities, and components offered by InfoSphere MDM for managing master data. This includes understanding how Physical Domains are configured, deployed, and maintained within the InfoSphere MDM environment.
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Data Modeling: Physical Domains in InfoSphere MDM involve defining the physical structure of master data, including tables, columns, relationships, and constraints within a relational database. You'll develop skills in data modeling, schema design, and database management specific to master data entities.
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Database Management Skills: Managing the underlying relational database management system (RDBMS) where master data is stored requires knowledge of database administration tasks such as schema creation, indexing, optimization, backup, recovery, and performance tuning. You'll gain practical experience in working with databases, SQL queries, and database tools.
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