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GitHub / EmediongFrancis / Scalable-Data-Processing-and-Query-Optimization-GCP-Kafka-Snowflake-Airflow

This project focuses on scalable data processing and query performance optimisation. It uses Snowflake for data warehousing, GCP Cloud Functions for serverless compute, and Apache Kafka for real-time data streaming. It leverages the serverless capabilities of the systems for scalability and performance.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EmediongFrancis%2FScalable-Data-Processing-and-Query-Optimization-GCP-Kafka-Snowflake-Airflow

Stars: 0
Forks: 0
Open issues: 0

License: gpl-3.0
Language: HCL
Size: 479 KB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago

Topics: apache-airflow, apache-kafka, auto-scaling, gcp-dataflow, performance, query-optimization, scalability, snowflake, velocity, volume

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