Case Study

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Organizing Customer Communication Data

Extract and process data from flat files, excel files, and multiple databases.
The data will be loaded in a data warehouse after applying the client business rules at the transformation level of the ETL.

Business Intelligence

The Challenge

  • Working with multiple data sources: Excel, flat files, four databases.
  • Large data to transform, clean, and load (~ 400-500 million records).
  • Duration of the ETL process.

The Solution

  • Create an ETL process that would address certain challenges. Use some components and flags to speed up the ETL run.
  • Breaking the ETL process into sub-jobs to better manage the extraction and loading of such a large data.

Features Added

  • Error handling with log registration.
  • Notification alert for successful or failed run.
  • Automating the ETL to run periodically.


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