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DMDW 7. Student Presentation - Pentaho Data Integration (Kettle)

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Johannes Hoppe
Johannes Hoppe

7. ETL Project by Himanshu Joshi, Sandhya Narayan and Greta Alvarez

Technology
1 of 10
ETL Himanshu Joshi Greta Alvarez Sandhya Narayan
What is ETL? Extracting data from outside sources Transforming it to fit operational needs Loading it into the end target (DB)
Extracting the Excel Errors: Nulll entry Spelling errors Space at the end of entries Start at the end of entries Duplicity
Normalize/Transform?? GOAL: Decompose relations with anomalies in order to produce smaller, well-structured relations. Involves dividing large tables into smaller (and less redundant) tables and defining relationships between them.
Tools tried & USED MS SQL SERVER MY SQL Clover ETL Designer Advanced ETL Processor Pentaho DI
Pentaho Data Integration Power Extraction, Transformation and Loading (ETL) capabilities using an innovative, metadata-driven approach. With an intuitive, graphical, drag and drop design environment, and a proven, scalable, standards-based architecture. http://kettle.pentaho.com/
Why Pentaho Data Integration? Open Source ETL supported User Friendly Easy to use
DEMO
Don‘t try to reinvent the wheel!!Just Use it ;)

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DMDW 7. Student Presentation - Pentaho Data Integration (Kettle)

  • 1. ETL Himanshu Joshi Greta Alvarez Sandhya Narayan
  • 2. What is ETL? Extracting data from outside sources Transforming it to fit operational needs Loading it into the end target (DB)
  • 3. Extracting the Excel Errors: Nulll entry Spelling errors Space at the end of entries Start at the end of entries Duplicity
  • 4. Normalize/Transform?? GOAL: Decompose relations with anomalies in order to produce smaller, well-structured relations. Involves dividing large tables into smaller (and less redundant) tables and defining relationships between them.
  • 5. Tools tried & USED MS SQL SERVER MY SQL Clover ETL Designer Advanced ETL Processor Pentaho DI
  • 6. Pentaho Data Integration Power Extraction, Transformation and Loading (ETL) capabilities using an innovative, metadata-driven approach. With an intuitive, graphical, drag and drop design environment, and a proven, scalable, standards-based architecture. http://kettle.pentaho.com/
  • 7. Why Pentaho Data Integration? Open Source ETL supported User Friendly Easy to use
  • 8.
  • 10. Don‘t try to reinvent the wheel!!Just Use it ;)