Curriculum

16 Chapters · 16 Lessons

  1. 1

    Book Preview

    1. Ultimate Apache Superset for Data Visualization and Analytics Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Apache Superset

    1. (Included in full purchase)

      Introduction to Apache Superset

  4. 4

    Chapter 2 : Installing and Configuring Apache Superset

    1. (Included in full purchase)

      Installing and Configuring Apache Superset

  5. 5

    Chapter 3 : Getting Started with Data Visualization

    1. (Included in full purchase)

      Getting Started with Data Visualization

  6. 6

    Chapter 4 : Data Exploration and SQL Lab

    1. (Included in full purchase)

      Data Exploration and SQL Lab

  7. 7

    Chapter 5 : Custom Visualizations and Plugins

    1. (Included in full purchase)

      Custom Visualizations and Plugins

  8. 8

    Chapter 6 : Security and Access Control

    1. (Included in full purchase)

      Security and Access Control

  9. 9

    Chapter 7 : Building and Optimizing Dashboards

    1. (Included in full purchase)

      Building and Optimizing Dashboards

  10. 10

    Chapter 8 : Integrating Superset into Data Pipelines

    1. (Included in full purchase)

      Integrating Superset into Data Pipelines

  11. 11

    Chapter 9 : Exploratory Data Analysis and Hypothesis Testing

    1. (Included in full purchase)

      Exploratory Data Analysis and Hypothesis Testing

  12. 12

    Chapter 10 : Scaling and Deploying Superset in Production

    1. (Included in full purchase)

      Scaling and Deploying Superset in Production

  13. 13

    Chapter 11 : Superset for Business Reporting

    1. (Included in full purchase)

      Superset for Business Reporting

  14. 14

    Chapter 12 : Self-Service BI with Superset

    1. (Included in full purchase)

      Self-Service BI with Superset

  15. 15

    Chapter 13 : Emerging Trends and Innovations in Data Visualization

    1. (Included in full purchase)

      Emerging Trends and Innovations in Data Visualization

  16. 16

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

Apache Superset is a powerful open-source data visualization and business intelligence platform that enables professionals to create interactive dashboards effortlessly. With its user-friendly interface and broad compatibility with various data sources, Superset helps users uncover insights and make informed, data-driven decisions in real time. Ultimate Apache Superset for Data Visualization and Analytics offers a structured, hands-on approach to mastering Apache Superset. It begins with installation and configuration, guiding you through building your first visualization and dashboard. As you progress, you’ll explore advanced features such as SQL Lab, custom visualizations, and security management. The book also covers optimizing dashboards, integrating Superset with data pipelines, and deploying it in production environments. Each chapter includes practical examples, best practices, and real-world use cases to reinforce learning. By the end, you’ll have the expertise to build high-impact, interactive dashboards and confidently deploy Apache Superset in production. Whether you're a data analyst, engineer, or business professional, this book equips you with the skills to scale and customize Superset for your organization’s needs. Don't get left behind—unlock the full potential of Apache Superset and take your data visualization to the next level!

About the Author

Bragadeesh Sundararajan is a visionary leader in artificial intelligence, data science, and analytics, with over 15 years of experience transforming data into measurable business impact. A passionate advocate for technology-driven decision-making, he has been at the forefront of AI innovation, crafting scalable, intelligent solutions that empower organizations and individuals alike. Bragadeesh has been recognized as one of India’s Top 100 AI Influential Leaders (2023) by Analytics India Magazine and honored as a Standout Thought Leader (2024) by 3AI. He has made significant contributions to AI and data science, pushing the boundaries of generative AI, predictive modeling, and real-time analytics. His pioneering work includes designing a self-booking vaccination slot system during the COVID-19 pandemic, demonstrating the power of AI to serve humanity at Scale.