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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