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The primary purpose of data warehousing is to put raw data into an “analyzable state” and deliver data and information that is useful, relevant and accessible. Though data warehousing is a mature discipline, it continues to develop driven by new perspectives, innovative ideas, evolving technology and competitive business pressures.
There are many concepts and components to be understood, integrated, and collectively implemented for data warehousing success. Many organizations fail to understand and embrace the full breadth of these components – how they interact and how they change over time. Lack of understanding brings confusion, misalignment, and failure to realize full value from data warehousing investments.
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This online training course presents a holistic view of data warehousing components, concepts, and definitions. From a systems-thinking perspective, you’ll see a framework that describes the building blocks and their interactions to generate real and measurable business value. The framework positions architecture as an essential foundation for a data warehousing system, then describes the five essential and enabling sub-systems of data warehousing.
You will learn:
- Data Warehousing concepts and terminology
- The purpose and capabilities of successful Data Warehousing and its roles in creating business value
- Roles and essential components of five critical sub-systems:
- Data Acquisition and Refinement
- Data Provisioning and Retention
- Information Delivery and Consumption
- Building and Development
- Leadership and Control
- How the sub-systems interact to constitute a complete and cohesive Data Warehousing system
- The common challenges and risks inherent in Data Warehousing
This course is geared towards:
- Data warehousing teams who need to build a common foundation of concepts and terminology
- Data warehousing program and project managers
- Data warehouse architects
- Data warehouse designers and developers
- Data warehouse maintenance and support specialists
- Business and Data SMEs with data warehousing project roles and responsibilities
- Data Management Analysts
- Anyone who is new to data warehousing
- Anyone with an interest in understanding the capabilities, opportunities and challenges of data warehousing
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