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Automating data conversion and transfer

CASE STUDY

Technologies used:
Apache Spark, Python, database on DB2, Cloud Object Storage, Apache Airflow, IBM Cloud

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Task:

The client needed to automate the process of extracting, converting and loading data into Cloud Object Storage, and then into the final data storage based on DB2.

Solution:

  • Converting business logic into Python and Apache Spark code

  • Created a script and tested it on local data

  • Created Airflow DAGs to automate data manipulation, dependency compliance, and sequencing

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Project Results

The required logic has been developed and tested, and the process of data delivery to the final storage has been automated

Встреча команды

Backoffice Application

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