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Case Study
Migrations of Analytics Workload from AWS to GCP
Key Takeaways
Migrating to GCP for large-scale data processing
Built a data lake for reporting, ML, and analytics
Used Kafka and Spark for real-time data pipelines
Implemented a centrally managed data lake with live data for analysis
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