A data bridge is a process that connects two or more stable, predefined data stores for a limited time or on an ongoing basis. Data bridges are used in a variety of applications such as:
- Converting data from an old system to a new system
- Interfacing data from one system to another
- Sourcing a data warehouse, etc.
This course explains the foundational concepts underlying a successful bridging project, describes the activities required for a successful data bridge, and covers the methodology needed to build a data bridge.
Students of Advanced Strategies’ Data Bridging Course returning to work will be able to:
- Explain the concept of data bridging and the different classes of data bridges.
- Explain the different activities that are needed to bridge data.
- Apply a methodology to define, analyze, and design a data bridge in any application.
- Select an appropriate bridging paradigm for various source/target scenarios.
- Identify the appropriate use of utility software, custom software, and manual processes in building bridges.
Note: This course will not eliminate the hard, dirty work of bridging data, but it will provide a methodology to make it a manageable, predictable, and repeatable process.
|Introduction to Data Bridging
- What is Data Bridging?
- When is Data Bridging Used?
- Classes of Data Bridges
- How is Data Bridging Done?
- Who Does Data Bridging?
|Data Bridging Activities
- Logging and Validating
|Fundamental Methodology Concepts
- A Path to a Solution
- When are Data Bridges Built When Developing Systems
- The Data Bridging Methodology Framework
|Defining a Data Bridge
|Data Bridging Paradigms
- Where to Start: Source or Target?
- Target Backward
- Source Forward
- Cost/Benefits of Various Paradigms
|Analyzing a Data Bridge
- Discovering Candidate Target and Source Data
- Assessing Needs of Target and Source Data
- Assessing Data Bridging Options
- Specifying Data to Be Bridged and Bridging Rules
|Designing a Data Bridge
- Designing the Data Bridging Architecture
- Engineering the Data Bridge
- Completing the Design
- Acquired Packages
- Custom Code
- Utilities / Tools
- Manual Processes
- Final Case Study
Who Should Attend:
This course is targeted for Data Modelers, Database Administrators, Systems and Business Analysts, and other individuals involved in data bridging projects.
Prior to the course, students should be able to read and be familiar with logical and physical data models.
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Student Workbook, Case Study, and Bridging Checklists
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