Business Impact

  • 50%

    Reduction in infrastructure cost

  • 60%

    Reduction in the query execution time

  • 140TB+

    Historical data migrated

  • 10+

    Data sources were aggregated for data

Customer Key Facts

  • Country : Argentina
  • Industry : Retail

Problem Context

A Latin American e-commerce enterprise, which boasts a user base of over 150 million in more than 15 countries, encountered significant challenges with its present data infrastructure. To drive business growth, the company needed a comprehensive understanding of data that was dispersed through various sources.


  • Low performance and system maintenance with an increase in data size
  • High latency affecting customer experience
  • Continuously increasing operational and maintenance costs

Technologies Used

Big Query
Cloud Storage
Cloud Data Fusion

Migrated data from Teradata and other disparate data sources to BigQuery


Quantiphi worked as a strategic partner to migrate data from Teradata and other disparate data sources to BigQuery and enabled data sharing across various business teams and departments.

Following a detailed discovery, we assisted the client in transferring tables/entities from various data sources, including MySQL, Oracle, Hive, and SQL Server, into BigQuery.


  • Created a single unified view of data from different environments
  • Processed 2,000+ ETL jobs and orchestrated 1,300+ jobs
  • Increased dashboard adoption

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