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AnalyticsCase Studies

Data Infrastructure Transformation

By April 8, 2024No Comments
Data Infrastructure Transformation


Our client, a thorough review website, meticulously analyzes products using extensive research, expert insights, and consumer feedback. They’re transitioning their ETL pipeline from MySQL and LookerStudio to Google BigQuery and Looker. We assisted them in this migration to Google Cloud Platform while ensuring seamless operation of current processes.


  • Tailor and deploy customized architecture on BigQuery, aligned with unique needs and industry best practices.
  • Develop robust ETL pipeline on BigQuery for optimized data processes.
  • Redevelop dashboards on Looker for enhanced visualization and insights delivery.
Data Infrastructure Transformation


  • Migrating to BigQuery alleviates strain on MySQL infrastructure, potentially reducing costs.
  • BigQuery enables seamless sharing of datasets for collaborative analysis and reporting.
  • Centralizing data simplifies management and enhances analysis for more insightful decision-making.
Data Infrastructure Transformation

Tools and Technologies : 

  • BigQuery, Looker, Python, Jira, MySQL, LookerStudio.

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