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Extracted and integrated data from various platforms and transferred it the data to a cloud-based data warehouse

 

Client Background

The client is a leading competitive intelligence solutions provider

Challenges

  • Needed a solution to integrate data from various advertisement platforms like Google Adwords, Facebook Ads, Shopify Ads, etc.
  • They wanted to extract data from these platforms and transfer to it a cloud-based data warehouse.
  • They wanted to centralize the advertisement data to enable data science operations.
  • They wanted to create an analytical database to enable historical reporting and analysis.

 

Solutions

  • Integrated Adwords module using BigQuery data transfer services by synchronizing Adwords to BigQuery.
  • Configured a portal using an opensource framework (singer.io) to load integrated Facebook data to the cloud-based data warehouse (Amazon Redshift).
  • Designed a microservice for seamless transfer of data across data warehouses using Scala.
  • Automated end-to-end flow to provide real-time updates of customer enrollment.

Tools & Technologies

Scala, AWS, Python, Google cloud platform, Google Adwords

Key benefits

  • Eliminated a 3rd party tool which charged ~$100 – $1000/month per customer based on the data pulled (5–250 million rows/month).
  • Eliminated two other 3rd party tools which resulted in huge cost savings.
  • Significant reduction in operational cost due to custom-built scalable connectors and APIs.
  • Minimal maintenance cost despite frequent changes in source systems, due to the robustness of the code.
Key Benefits - Centralized Analytics Reporting

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