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gcp-dataflow

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

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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.

performance scalability velocity snowflake volume apache-kafka auto-scaling query-optimization apache-airflow gcp-dataflow
  • Updated Sep 10, 2024
  • HCL

EmediongFrancis / Real-Time-Data-Processing-and-Analytics-GCP-Kafka-Airflow-Snowflake

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This project illustrates real-time data processing and analytics. This project uses Apache Kafka for capturing and streaming real-time data, GCP Cloud Functions for processing data in real-time, GCP PubSub for real-time notifications, and GCP Looker Studio for real-time data visualization.

visualization velocity value snowflake google-cloud-functions volume apache-kafka real-time-analytics real-time-processing apache-airflow gcp-pubsub gcp-dataflow looker-studio
  • Updated Sep 10, 2024
  • HCL

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