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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