ETL involves extracting data from outside sources, transforming it to fit operational needs, and loading it into an end target database. The document discusses extracting Excel data which can contain errors like null entries, spelling mistakes, and duplicates. It describes normalizing the data to decompose relations and define relationships between smaller, well-structured tables. Various ETL tools are mentioned, including Pentaho Data Integration, an open source and user-friendly tool that supports extraction, transformation, and loading capabilities.

1. ETLHimanshu JoshiGreta AlvarezSandhya Narayan

2. What is ETL?Extracting data from outside sourcesTransforming it to fit operational needsLoading it into the end target (DB)

3. Extracting the ExcelErrors:Nulll entrySpelling errorsSpace at the end of entriesStart at the end of entriesDuplicity

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 & USEDMS SQL SERVER MY SQLClover ETL DesignerAdvanced ETL ProcessorPentaho 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 SourceETL supported User FriendlyEasy to use

9. DEMO

10. Don‘t try to reinvent the wheel!!Just Use it ;)