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The DAMA DWBI-1220 exam covers a wide range of topics related to data warehousing and business intelligence, including data modeling, ETL processes, data quality, data governance, data visualization, reporting and analytics, and performance tuning. DWBI-1220 exam consists of 100 multiple-choice questions and candidates have 90 minutes to complete it.

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DAMA DWBI-1220 certification exam is a comprehensive exam that covers a wide range of topics related to data warehousing and business intelligence. DWBI-1220 exam covers topics such as data modeling, data warehousing architecture, ETL (Extract, Transform, Load), data quality, and business intelligence reporting. DWBI-1220 exam is designed to test the knowledge and skills of professionals who work in the field of data warehousing and business intelligence.

The DAMA DWBI-1220 exam covers a wide range of topics such as database architecture, data modeling, data mining, data visualization, and business analytics. Candidates are expected to have a thorough understanding of the concepts and principles behind data warehousing and business intelligence solutions, as well as their practical implementation in real-world scenarios. DWBI-1220 exam is designed to challenge candidates and test their abilities to apply their knowledge to solve complex problems and develop effective solutions.

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DAMA DWBI-1220 Exam Syllabus Topics:

SectionObjectives
Dimensional Modelling and Design- Fact and dimension tables, slowly changing dimensions
- Star and snowflake schema design
- Normalization vs dimensional approaches
Data Warehousing Fundamentals- Data storage concepts and scalability considerations
- Architectural models (Inmon, Kimball, hybrid approaches)
- Purpose and role of data warehousing within enterprise data management
ETL and Data Integration- Handling metadata and lineage in warehousing
- Data quality and integration techniques
- Extract, Transform, Load processes and tools
Performance Optimisation and Modern Architectures- Cloud-based data warehousing and modern platform considerations
- Real-time analytics and big data integration
- Query performance, indexing and partitioning strategies
Business Intelligence Concepts- BI frameworks and analytical reporting principles
- BI tools, dashboards, and data visualisation techniques
- Self-service BI and decision support systems

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