ETL Framework for Data Warehouse Environments




ETL Framework for Data Warehouse Environments

This course provides a high level approach to implement an ETL framework in any typical Data Warehouse environments. The practical approaches can be used for a new application that needs to design and implement ETL solution which is highly reusable with different data loading strategies, error/exception handling, audit balance and control handling, a bit of job scheduling and the restartability features and also to any existing ETL implementations. For existing implementations this framework needs to be embedded into the existing environment, jobs and business requirements and it might also go to a level of redesigning the whole mapping/mapplets and the workflows (ETL jobs) from scratch, which is definitely a good decision considering the benefits for the environment with high re-usability and improved design standards. 

This course is a combination of standard and practical approaches of designing and implementing a complete ETL solution which details the guidelines, standards, developer/architect checklist and the benefits of the reusable code. And, this course also teaches you the Best practices and standards to be followed in implementing ETL solution. 

Though this course, covers the ETL design principles and solutions based on Informatica 10x, Oracle 11g, these can be incorporated to any of the ETL tools in the market like IBM DataStage, Pentaho, Talend, Ab-intio etc. 

Multiple reusable code bundles from the marketplace, checklists and the material required to get started on UNIX for basic commands and Shell Scripting will be provided. 

The non functional ETL requirements

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What you will learn
  • This course provides a high level approach to implement an ETL framework in typical Data Warehouse environments. This approach can be used for a new application that needs to design and implement ETL solution which is highly reusable with data loading, error handling, audit handling, job scheduling and re-start-ability features. This framework will help reduce time and increase quality due to high re-usability and design standards.
  • Metadata Categories, learn the commonly used types of metadata in a real time project and how these are different from the Business and Technical viewpoints.
  • ETL Framework process flow, the process flow and different activities which should be taken care during the ETL framework implementation from file (source data) validations, Exception handling and Audit Control.

Rating: 4

Level: Beginner Level

Duration: 6.5 hours

Instructor: Sid Inf


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