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Integrating Apache Superset into a B2B Platform - Why and How

Databricks via YouTube

Overview

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Explore the integration of Apache Superset into a B2B platform for managing a pizzeria franchise business in this 38-minute Databricks talk. Learn why Apache Superset was chosen as the visualization tool for creating fully integrated dashboards within a large, long-standing portal. Discover the challenges faced during integration and the necessary refinements made to achieve successful implementation. Gain insights into Superset's architecture, custom OAuth provider setup, Azure Data Explorer integration, and frontend customizations. Understand the process of adding new databases, query processing, and the use of legacy and custom plugins. Delve into the integration scheme, objectives, and both backend and frontend integration aspects. Conclude with an overview of the results achieved and future plans for the project.

Syllabus

Intro
Dodo Brands
Choosing visualization tool
Apache Superset
Superset Architecture
Superset in our landscape
Setting custom OAuth provider
Azure Data Explorer
Adding new database
Processing query
Frontend customizations
Superset frontend scheme
Legacy plugins vs. Not legacy plugins
NPM for custom plugins
Standalone Superset
Reporting in Dodo IS
Integration scheme
Integration objectives
Backend Integration
Frontend integration
Integrated Superset
Results and future plans

Taught by

Databricks

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Integrating Apache Superset into a B2B Platform - Why and How

  • Profile image for Rakesh U
    Rakesh U
    I recently completed an Apache Superset course, and it was a very good learning experience. The course explained the concepts clearly, including dashboard creation, charts, filters, SQL Lab, and data visualization techniques. The hands-on examples helped me understand how to build interactive dashboards and analyze data effectively.

    I also liked the practical approach of the course, which made it easy to understand real-time use cases. Overall, it was an informative and well-structured course for anyone interested in business intelligence and data analytics.

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