Automation.

Case Study
Learn More

Objective:
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.

Contact an IT Specialist
data

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.
advancio industries

Different industries.
Different problems.
All solved with technology.

 

We’ve had the privilege of helping numerous client companies in growth and impacting their respective industries, choose a Case to read about real-life scenarios of innovative software solutions and business transformations.

newsletter

Subscribe For Awesome Articles

Get more tech and business development tips delivered straight to your inbox