Objectives:
After successfully completing this course, students should be able to:
- Extract data from relation and flat file sources
- Develop commonly used transformations for mappings
- Automate metadata changes through dynamic mappings
- Parameterize mappings
- Assemble mappings into workflows
- Deploy mappings and workflows as applications
Course Duration
- Two-day of instructor led training
Target Audience
- Developers
Prerequisites
- Knowledge of SQL
- Understanding of RDBMS concepts
Agenda
Module 1: Fundamentals
- Introduction to the Developer tool
- Brief Overview of Big Data Management Architecture
- Reviewing the Developer interface
Module 2: Developing Physical Data Objects
- Introduction to the types of physical data objects
- Using relational connections
- Using flat file connections
- Synchronize a flat file data object
Module 3: Viewing Data
- Introduction to data views
- Troubleshooting configurations
- Reviewing logs
- Monitoring activities
Module 4: Developing Mappings and Transformations
- Mapping and transformation concepts
- Core transformations
- Developing and validating a mapping
- Using transformations in a mapping
Module 5: Working with Dynamic Schema and Dynamic Mappings
- Introduction to dynamic mapping concepts
- Developing and running a dynamic mapping
- Reviewing a mapping template
Module 6: Deploying Applications
- Deploying Applications for Users
- Create, deploy, and run an application
Module 7: Parameters
- Using Parameters
- Types of Parameters
- Parameter file and Parameter set
- Run mappings with parameter file and parameter set
Module 8: Workflows
- Working with Workflows
- Create a workflow
- Configure a workflow
- Add a conditional sequence flow