Apache Superset is a Data Visualization and Data Exploration Platform
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Updated
Sep 4, 2024 - TypeScript
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]
👗 📄 A catalog of CSS templates I developed to style the dashboard in Apache Superset
Demostrate apache superset integrated with django application, with custom authentication layer
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.
A walkthrough to deploy Apache Superset on Google Cloud Run
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 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):
Setup guidelines for infrastructure setup of open-source technologies
Apache Solr dialect for SQLAlchemy
Run an open-source data LakeHouse locally using Docker Compose
Module to deploy Apache Superset on HSDP Container Host
A data pipeline to ingest, process, store storm events datasets so we can access them through different means.
Building a Data Lakehouse for Analyzing Elon Musk Tweets using MinIO, Apache Airflow, Apache Drill and Apache Superset
This project provides a SQLAlchemy driver for Apache Ignite. It was built to enable (ad-hoc) data exploration and visualization of datasets managed by Apache Ignite.
A realtime ingestion and profiling engine for fast data.
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