This course covers Apache Superset, combining foundational knowledge with applied learning to support real-world usage of Data Analytics. You also become technically strong in configuring an Analytical tool like Apache Superset
Who Should Attend
- Data Enthusiasts
- Freshers
- Data Engineers
- Data Scientists
- Data Analysts
- Business Analysts
- Software Developers
- Project Managers
- Test Managers
- Scrum Masters
- Accountants
- Share brokers
- DevOps
- Anybody who wants to learn a new subjectKey Focus Areas
- The core concepts of Data Engineering i.e. Difference between Data Exploration vs Data Visualization vs Data Analytics. With focus on Data Exploration
- What is Apache Superset and how it is different from the paid BI tools like Tableau, Power BI and Looker
- Understanding the Apache Superset Architecture in detail, focusing on the end to end flow between the components
- Exploring Apache Superset in Detail understanding what is Dashboard, Charts, DataSets,SQLLabs,
- Installing Superset on both Docker and Kubernetes
Outcome
Participants gain practical knowledge that can be applied in real-world environments.
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