Data integration for Hive DB with Cloudera for efficient data processing

For a large Asian bank


  • A Large Asian bank needing data engineering for machine learning (ML) models.
  • Require integration of Hive DB with Cloudera for efficient data processing and ML model creation.


  • Extracted data from Hive DB to Cloudera for ML processing using PySpark.
  • Developed and optimised ETL processes to ensure smooth data extraction and transformation.
  • Utilised R and Python to fetch data on an ongoing basis for continuous ML model development.
  • Created ML models and seamlessly integrated the results back into Hive for further analysis and use.


  • Efficiently extracted and transformed data from Hive DB to Cloudera.
  • Created and integrated ML models, with results stored back in Hive for ongoing analysis.
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