Building a Weather Data Pipeline with PySpark, Prefect, and Google Cloud

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  • weather_data_pipeline

    This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

  • We'll be using PySpark for distributed data processing, Prefect for workflow management, and Google Cloud Storage and BigQuery for data storage and processing.The code is available on github.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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