This 1-day DAMA DMBoK Data Management Specialist course addresses all required disciplines required for the Data Warehousing & Business Intelligence specialist exam by the international standard, DAMA Body of Knowledge (DMBOK2) and is aimed at individuals interested in developing concrete professionalism in the field of Data Management with a specialisation in Data Warehousing & Business Intelligence.
This course provides a solid foundation of the different disciplines across the complete Data Management spectrum concerning Data Warehousing & Business Intelligence and introduces students to the different levels of Industry professional certification the DAMA Certified Data Management Professional (CDMP).
The Data Warehousing & Business Intelligence specialist course explores the planning, implementation, and control processes to provide decision support data and support knowledge workers engaged in reporting, query and analysis
COURSE OBJECTIVE:
• To help understand what Data Warehousing is.
• To help understand what Business Intelligence is.
• To help comprehend different data model styles for Data Warehousing.
• To explain the role of Business Intelligence and the tools involved.
• Explain the role of Data Visualization.
TARGET AUDIENCE:
The course of Data Warehousing & Business Intelligence Specialist is designed for Analytics Managers, BI and ETL Developers, Data Analysts and Scientists, Database Administrators, Database Modelers, and individuals interested in Data Warehousing.
• Business Intelligence & Data Warehouse developers & architects
• Data Modellers
• Developers
• Data & Enterprise Architects
• Data Analysts
• Solution Architects
• Application Architects
• Information Architects
• Business Analysts
• Database Administrators
• Project / Programme Managers
• IT Consultants
• Data Governance Managers
• Data Quality Managers
• Information Quality Practitioners
COURSE PREREQUISITES:
None
COURSE CONTENT:
• Business Drivers for Data Warehousing & Business Intelligence
• The main Data Warehousing design patterns: Inmon, Kimball & Linstedt
• Data Warehousing Architectures
• Batch vs. streaming data loads
• Mapping data: sources to targets
• Data Cleansing
• Dimensional Modelling
• Business Intelligence portfolio
• Manage the Data Product Development Lifecycle
• Data Warehousing & Business Intelligence tools
• Self Service Business Intelligence
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