Superset Data Exploration And Analysis Framework
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Superset Data Exploration and Analysis Framework
"Superset Data Exploration and Analysis Framework" "Superset Data Exploration and Analysis Framework" is a comprehensive guide designed for data professionals, architects, and enterprise teams seeking to leverage Apache Superset for modern analytics. Starting with a lucid exploration of Superset’s place in the evolution of business intelligence, the book unpacks core concepts such as datasets, metrics, access controls, and modular architecture—providing a clear technical and strategic foundation for anyone embarking on data-driven initiatives. Readers gain practical expertise in configuring secure, scalable environments, integrating Superset within diverse data stacks, and maintaining robust security postures from the ground up. The book delves deep into Superset’s extensibility and operational ecosystem, covering advanced backend architecture, integration with enterprise sources, and the development of custom visualizations and plugins. Through detailed explanations of asynchronous processing, performance tuning, and automation, it empowers organizations to manage complex deployments, optimize dashboard responsiveness, and ensure data integrity at scale. Chapters on DevOps automation, CI/CD pipelines, and disaster recovery equip teams to deploy, maintain, and evolve Superset instances confidently in cloud-native and hybrid environments. Elevating the discussion beyond technology alone, the framework offers invaluable insights on compliance, governance, and fostering a culture of analytics excellence. By spotlighting best practices, enterprise case studies, and community engagement strategies, this book positions readers to harness Superset not just as a tool, but as a catalyst for data democratization and innovation. Whether you are scaling business intelligence to thousands of users or pioneering new frontiers in augmented analytics, this authoritative resource guides you on the journey from implementation to mastery.
Ultimate Apache Superset for Data Visualization and Analytics
Author: Bragadeesh Sundararajan
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-04-07
TAGLINE 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. 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 WILL YOU 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. 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
Big Data and Analytics
Author: Dr. Jugnesh Kumar
language: en
Publisher: BPB Publications
Release Date: 2024-03-05
Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY FEATURES ● Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently. ● Learn about data collection, storage, processing, and analysis, along with tools and methods. ● Discover real-life examples of big data applications across industries, addressing challenges like privacy and security. DESCRIPTION Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape. WHAT YOU WILL LEARN ● Grasp big data fundamentals and applications. ● Master descriptive, predictive, and prescriptive analytics. ● Understand HDFS, MapReduce, YARN, and their functionalities. ● Explore data storage, retrieval, and manipulation in a NoSQL database. ● Gain practical insights and apply them to real-world scenarios. WHO THIS BOOK IS FOR This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners. TABLE OF CONTENTS 1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB