Instructors: Sanjay Shirude and Ham Hayes
Space will be limited, so register early!
Morning class: Data Modeling Concepts
Instructor: Ham Hayes
This is an intensive, short course in entity relationship data modeling concepts. It is designed to help users, analysts and managers solve the problem of getting the “right data to the right place at the right time.” Attendees will get a systems level view of data modeling and how data modeling can improve data integrity/business performance and successful implementation of data management systems.
Examples, illustrations and student exercises will be presented.
The course is totally independent of any data base technologies, CASE or modeling tools
Who should attend: Business users and analysts, project managers. Anyone in the data architecture, database design or data management domain can also benefit from this course who wishes to experience a refresher in data modeling principles and practices.
What you will learn
What is a data model?
Model Objects – naming, types, definitions and properties
- What is its purpose and how does in fit in an enterprise schema?
- What are some useful model types?
- Underlying methodology
- Types and roles of standards
Linking the business to its data
- Special relationships (Generalization hierarchies, Many to Many relationships, role-naming)
The unacceptable cost of bad data
- Using a framework based, model driven data architecture
- The link between requirements and integrity
- Analyzing a business requirement using templates (data model properties)
- Resolving gaps, mis-matches and incorrect data requirements
- How “bad data” can impact cost, schedule and quality
- How data modeling can improve data life cycle management
- How understanding data transformations can drive business optimization
Afternoon class: Business Overview of Data Warehousing
Instructor: Sanjay Shirude
Assuming no prior experience in data warehousing, this course will help attendees understand data warehouse basics and benefits, and how a data warehouse can affect their jobs.
It provides a functional understanding of data warehouse basics, project management, architecture, critical success factors, risk factors, design, process, and tools. It also explains how a business intelligence system can use a data warehouse to deliver a competitive advantage in the marketplace.
Using real-world experience, the instructor provides recommendations for getting started, including how to make sure that your objectives and needs are met. It provides an overview of the process that IT will go through on the data warehouse project so business users will know what to expect.
Who Should Attend:
Business users, sponsors, non-technical project managers, anyone who needs to learn the basics of data warehousing.
What You Will Learn:
•Concepts, terminology, and processes of data warehousing and business intelligence
•How a data warehouse fits in with other sources of information you're already using
•Architecture overview - how a data warehouse is built
•Challenges, success and risk factors of data warehousing