![• Create container:
docker run --detach --name superset -p 8088:8088 amancevice/superset
• Or easier:
docker-compose up
• Initialize and load demo data:
docker exec -it [container name] superset-demo
Getting it up](https://image.slidesharecdn.com/supersetpresentation-190308204443/85/Open-Source-DataViz-with-Apache-Superset-15-320.jpg)
Open Source DataViz with Apache Superset
- 1. Open Source DataViz with Apache Superset
- 2. • MSc. Computer Science and B.A.Sc. Engineering Physics. • Python programmer with experience in machine learning and big data. • Currently working as Data Scientist at the Mexican Startup Konfío and living in Mexico City. Who Am I?
- 4. Why DataViz? • Making useful insights from stored data • Allow and support effective decisions • Using data to get new information and find patterns • Monitor daily numbers and trends • Present an argument or tell a story • It’s all about getting the right information, to the right decision makers, at the right time
- 5. Tools out there (all paid-for)
- 6. Tools out there (Open source)
- 8. • A modern data exploration and visualization web application. • Superset’s main goal is to make it easy to slice, dice and visualize data. • Developed by engineers at Airbnb now released under Apache license 2.0 • This project was originally named Panoramix, was renamed to Caravel in March 2016, and is currently named Superset as of November 2016.
- 10. • Build over the Flask framework in Python. • Works as a web app on all most used browsers so it does not require any additional desktop installations. • Easy to deploy on a Server and ability to handle multiple users with roles and authentication. • Repo: https://github.com/apache/incubator-superset
- 11. Advantages • Interactivity: You can create visualizations even without knowledge of SQL or Python! • No coding to setup but code available for manipulation • Completely free, no user license or one time download fee • Supports multiple data sources (Most of SQL dialects and Druid) and more to come! • Growing in popularity getting new releases each month
- 12. Limitations and Disadvantages • Still very young and lacks some of the basics like uploading data, tooltip customization and visual filters. • The tool is rapidly developing so be ready to find bugs. • Problems with customization if you don’t want to dive into the source code, but you still can! • Difficult to plot aggregations of a higher level without some data manipulation or creating views.
- 14. • Clone from: git clone https://github.com/amancevice/superset • Or pull docker image docker pull amancevice/superset
- 15. • Create container: docker run --detach --name superset -p 8088:8088 amancevice/superset • Or easier: docker-compose up • Initialize and load demo data: docker exec -it [container name] superset-demo Getting it up
- 16. DEMO
- 17. Contributing • Contributions are welcome and are greatly appreciated! • You can help make superset better by: • Reporting/Fixing bugs • Implementing new features • Help with the Documentation • Or submit Feedback and new feature ideas https://github.com/apache/incubator-superset/blob/master/ CONTRIBUTING.md
- 18. Closing • Superset is certainly not a replacement for more robust BI tools but its growing to become their main open source competitor. • For becoming a full BI tool stills need an analytics module. • Can scale better over user license solutions. • With superset everybody in the organization can be a data scientist, at least a bit
- 21. Thank You! Let’s have a beer! [email protected]