Data integration for Hive DB with Cloudera for efficient data processing

For a large Asian bank

CLIENT & PROBLEM STATEMENT

  • 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.

APPROACH

  • 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.

SOLUTION & OUTPUT

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

Get a free 30-min consultation with our experts. And also get an analysis report with some actionable insights post that for only $20
book a slot now