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apache-superset
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Apache Superset is a Data Visualization and Data Exploration Platform
Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]
📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.
Superset 汉化, Superset 中文版
👗 📄 A catalog of CSS templates I developed to style the dashboard in Apache Superset
This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.
Demostrate apache superset integrated with django application, with custom authentication layer
An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports
A walkthrough to deploy Apache Superset on Google Cloud Run
A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):
Demo application to showcase integration of Trino with Apache superset using Minio and Hive metastore
Run an open-source data LakeHouse locally using Docker Compose
Apache Solr dialect for SQLAlchemy
Setup guidelines for infrastructure setup of open-source technologies
Ansible playbook for Apache Superset
Highly available Apache Superset against MySQL InnoDB cluster.
A Smart Traffic Management System for Ho Chi Minh City, Vietnam leveraging batch and real-time data processing, intuitive dashboards, and monitoring tools to optimize traffic flow, enhance safety, and support sustainable urban mobility through advanced analytics and user-friendly applications.
Quickly download files needed to run Apache Superset in docker and preconfigure it for production