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[Azure Database for PostgreSQL flexible server](sections/01-postgres.md)\u003cbr\u003e\n  \n[Data Collection](Inventory2Q2022.ipynb) with PySpark \u003cbr\u003e\n[Data Pipeline](sections/02-data-pipeline.md) extract transform load\n  - [Google Cloud Composer](sections/02-data-pipeline.md#Create-Cloud-Composer) provides running Apache Airflow to automate tasks\u003cbr\u003e\n  - [Google Cloud Storage](sections/02-data-pipeline.md#Create-Bucket) (Data Lake) \u003cbr\u003e    \n  - [Google Cloud Dataproc](sections/02-data-pipeline.md#Create-Cloud-Dataproc) managed Hadoop and Spark cluster  \u003cbr\u003e\n  - [Google BigQuery](sections/02-data-pipeline.md#Create-Dataset) (Data Warehouse)  \u003cbr\u003e\n  \n[Data Visualization](sections/03-data-visualization.md) building dashboard with Power BI Desktop  \n\u003cbr\u003e\n![11](/images/dashboard.jpeg)\n\n![13](/images/0-Data-architecture.png)\n\n![12](/images/cover-0.PNG)\n\nGet more dataset information:\nhttps://www.kaggle.com/thedevastator/datasets\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthunchanokbow%2Finventory-amazon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthunchanokbow%2Finventory-amazon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthunchanokbow%2Finventory-amazon/lists"}