Online Training – ETL Framework For Data Warehouse Ecosystem

Online Training – ETL Framework For Data Warehouse Ecosystem

May 12, 2023

Jadwal Pelatihan Online Training – ETL Framework For Data Warehouse Ecosystem

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DESCRIPTION

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.

 

COURSE

  1. ETL Developers Administrators
  2. ETL Testing Professionals
  3. Data Architects and Data Modelers
  4. Data Scientists and Big Data Experts who want to understand the practical Data Warehouse Process
  5. Database Administrators who want to explore the DWH ETL BI areas
  6. BI, ETL, DW Technology experts and Team Leaders
  7. Software Engineers who are already part of any Data Warehouse and Business Intelligence Projects
  8. Software Engineers from different technology background who want to explore the Data Warehouse and Business Intelligence development process
  9. Mainframe developers who want to switch their carrier into the Data Warehouse stream
  10. Freshers Engineering Graduates who are looking for placements
  11. Non IT professionals who like to learn how data is handled in enterprises
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Topik Training : Online Training – ETL Framework For Data Warehouse Ecosystem
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