Additional information
by Bragadeesh Sundararajan (Author)
Apache Superset to Master Data Visualization and Build High-Impact BI Solutions
Book DescriptionApache 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! Table of Contents
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
Number of Pages: 352
Dimensions: 0.73 x 9.25 x 7.5 IN
Publication Date: April 07, 2025
