Duration
5 days
Outline
- To understand the key terms in Data Quality
- To understand how to install and create Data profiling and cleansing jobs
- To understand how to automate key phases of Data Quality Management framework
- To understand the basics of Data Integration and Data cleaner tool
- To create ETL jobs that connect to almost any data source
- To build standalone jobs that run on a schedule or based on an event
- To learn about Filter, Modify, Unite data
- To make jobs more user-friendly for non-technical users
- To understand how to Integrate Data cleaner tool with PDI
- To learn when to use an ETL to monitor the data transformation and storage
- To learn the features in a professional ETL solution
- To learn about ETL architecture
Programme scope, delivery arrangements and suitability are confirmed during enquiry.