Apache Superset to Master Data Visualization and Build High-Impact BI Solutions

Key Features
● Learn to install, configure, and use Superset to create visualizations and build interactive dashboards.
● Apply your learning to real-world data scenarios and business use cases, ensuring you can immediately apply these skills in your role.
● Customize Superset with custom visualizations, integrate it with modern data pipelines, and learn how to deploy it in production environments.

Book Description
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!

What you will learn
● Set up and configure Apache Superset for data visualization and BI
● Design interactive dashboards and compelling data visualizations effortlessly
● Use SQL Lab to query and explore datasets with precision
● Develop custom visualizations and extend Superset with plugins
● Implement role-based access control (RBAC) for secure data governance
● Deploy, scale, and optimize Superset for enterprise-ready BI solutions

Who is this book for?
This book is tailored for Data Analysts, Data Engineers, Business Intelligence Specialists, Data Scientists, IT Professionals, and Business Managers looking to harness Apache Superset for data visualization and BI. A basic understanding of SQL and data analytics will help readers get the most out of this guide.

1. Introduction to Apache Superset
2. Installing and Configuring Apache Superset
3. Getting Started with Data Visualization
4. Data Exploration and SQL Lab
5. Custom Visualizations and Plugins
6. Security and Access Control
7. Building and Optimizing Dashboards
8. Integrating Superset into Data Pipelines
9. Exploratory Data Analysis and Hypothesis Testing
10. Scaling and Deploying Superset in Production
11. Superset for Business Reporting
12. Self-Service BI with Superset
13. Emerging Trends and Innovations in Data Visualization
      Index

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.

With a postgraduate degree in Artificial Intelligence and Machine Learning from The University of Texas at Austin, an MBA from IIT Madras, and a Computer Science degree from BITS Goa, Bragadeesh blends technical expertise with strategic acumen. He also holds multiple certifications in AWS, PyImageSearch, and Big Data Analytics, showcasing his deep proficiency in cloud computing, advanced analytics, and full-stack development.

Bragadeesh’s mission is simple yet powerful: to bridge the gap between technology and real-world impact. He believes AI should not be a privilege but a tool for empowerment, and he continuously strives to make data-driven decision-making more accessible, ethical, and transformative. His vision is to build AI-driven ecosystems that revolutionize industries, optimize human potential, and create a future where technology enhances lives rather than replacing them.

As an author, thought leader, and mentor, Bragadeesh is dedicated to demystifying AI and data science, enabling professionals to leverage technology for strategic decision-making. His work is a testament to the belief that curiosity, learning, and innovation are the driving forces of progress.

This book is a reflection of his passion for analytics and his unwavering commitment to empowering the next generation of data leaders.

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ABOUT TECHNICAL REVIEWER'S

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Ananth Packkildurai is a recognized thought leader in data engineering and the author of the popular Data Engineering Weekly newsletter. With over 15 years of experience, he has built large-scale data infrastructure at companies including Slack and Zendesk, focusing on data pipelines, search infrastructure, customer analytics, and observability.

Ananth is a frequent speaker at global conferences, a panelist, and a podcast guest, where he shares insights on modern data platforms, AI-driven automation, and the evolving data landscape. His expertise in designing scalable and efficient data systems has influenced industry best practices.

As an advocate for knowledge-sharing within the data community, Ananth regularly reviews technical books and contributes to discussions on emerging trends in data engineering. His work continues to shape how organizations build and manage their data ecosystems.

Jatinder Singh is an experienced technology professional with over two decades of expertise in driving digital transformation and utilizing advanced technologies, including AI and machine learning. As a Senior Technical Account Manager at Amazon Web Services (AWS), he spearheads initiatives to modernize legacy systems, enhance performance, and develop innovative cloud-native solutions. His broad skillset encompasses solution and enterprise architecture, data security, governance, and cloud financial management, with a strong emphasis on delivering valuable insights through data-driven analysis.

His career trajectory, starting as a mainframe systems developer and advancing through leadership roles in ETL and business intelligence, has equipped him with a deep understanding of the software development lifecycle and modern data strategies. Over the past decade, Jatinder has been instrumental in assisting organizations with AWS cloud migrations, providing tailored solutions to meet each client’s unique needs. He also specializes in FinOps, helping companies optimize cloud spending. A recognized public speaker and contributor to technology publications, Jatinder shares his expertise with the wider technical community. Based in Virginia, USA, he is known for his ability to lead cross-functional teams and ensure successful project implementations within budgetary constraints.