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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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