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The Data Warehousing and Business Intelligence (DWBI-1220) Certification Exam is an industry-recognized certification that validates the skills and knowledge of professionals in the field of data warehousing and business intelligence. Data Warehousing and Business Intelligence certification is offered by the Data Management Association (DAMA), a global organization that promotes the principles and practices of data management.
DAMA DWBI-1220 certification exam is divided into two parts: the knowledge exam and the practical exam. The knowledge exam tests the theoretical knowledge of the candidates, while the practical exam assesses their ability to apply this knowledge to real-world scenarios. DWBI-1220 exam is conducted online and consists of multiple-choice questions and performance-based tasks. DWBI-1220 exam takers are given a total of 180 minutes to complete the exam.
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The DWBI-1220 exam is offered by the Data Management Association International (DAMA), a non-profit organization that provides data management professionals with educational and networking opportunities. DAMA has been a leading voice in the data management industry for over 30 years and is recognized as a global authority for data management best practices. The DWBI-1220 certification is a valuable credential that demonstrates a candidate's commitment to excellence in data warehousing and business intelligence.
One of the key benefits of the DAMA DWBI-1220 certification exam is that it is vendor-neutral. This means that the certification is not tied to any specific technology or platform. Instead, it focuses on the fundamental concepts and best practices of data warehousing and business intelligence, which are applicable across a wide range of technologies and platforms. This makes the certification valuable to professionals working in a variety of industries and organizations.
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DAMA DWBI-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Warehousing Concepts | 20% | - Fundamentals and Architecture
|
| Topic 2: Data Quality, Governance & Security | 15% | - Operational Aspects
|
| Topic 3: Business Intelligence & Analytics | 25% | - BI Concepts & Solutions
|
| Topic 4: Data Modeling & Design | 20% | - Dimensional Modeling
|
| Topic 5: ETL / Data Integration | 20% | - Extraction, Transformation, Loading
|
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