Ultimate Apache Superset For Data Visualization And Analytics
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Ultimate Apache Superset For Data Visualization And Analytics
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Author : Bragadeesh Sundararajan
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-04-07
Ultimate Apache Superset For Data Visualization And Analytics written by Bragadeesh Sundararajan and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Computers categories.
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
Ultimate Apache Superset For Data Visualization And Analytics Leverage Apache Superset To Create Interactive Dashboards And Master Modern Business Intelligence
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Author : Bragadeesh Sundararajan
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-04-07
Ultimate Apache Superset For Data Visualization And Analytics Leverage Apache Superset To Create Interactive Dashboards And Master Modern Business Intelligence written by Bragadeesh Sundararajan and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Computers categories.
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 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! 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
Mastering Data Engineering And Analytics With Databricks
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Author : Manoj Kumar
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-09-30
Mastering Data Engineering And Analytics With Databricks written by Manoj Kumar and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
TAGLINE Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business Challenges KEY FEATURES ● Combines theory with practical steps to master Databricks, Delta Lake, and MLflow. ● Real-world examples from FMCG and CPG sectors demonstrate Databricks in action. ● Covers real-time data processing, ML integration, and CI/CD for scalable pipelines. ● Offers proven strategies to optimize workflows and avoid common pitfalls. DESCRIPTION In today’s data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data, analytics and AI requirements of numerous organizations worldwide. Mastering Data Engineering and Analytics with Databricks goes beyond the basics, offering a hands-on, practical approach tailored for professionals eager to excel in the evolving landscape of data engineering and analytics. This book uniquely blends foundational knowledge with advanced applications, equipping readers with the expertise to build, optimize, and scale data pipelines that meet real-world business needs. With a focus on actionable learning, it delves into complex workflows, including real-time data processing, advanced optimization with Delta Lake, and seamless ML integration with MLflow—skills critical for today’s data professionals. Drawing from real-world case studies in FMCG and CPG industries, this book not only teaches you how to implement Databricks solutions but also provides strategic insights into tackling industry-specific challenges. From setting up your environment to deploying CI/CD pipelines, you'll gain a competitive edge by mastering techniques that are directly applicable to your organization’s data strategy. By the end, you’ll not just understand Databricks—you’ll command it, positioning yourself as a leader in the data engineering space. WHAT WILL YOU LEARN ● Design and implement scalable, high-performance data pipelines using Databricks for various business use cases. ● Optimize query performance and efficiently manage cloud resources for cost-effective data processing. ● Seamlessly integrate machine learning models into your data engineering workflows for smarter automation. ● Build and deploy real-time data processing solutions for timely and actionable insights. ● Develop reliable and fault-tolerant Delta Lake architectures to support efficient data lakes at scale. WHO IS THIS BOOK FOR? This book is designed for data engineering students, aspiring data engineers, experienced data professionals, cloud data architects, data scientists and analysts looking to expand their skill sets, as well as IT managers seeking to master data engineering and analytics with Databricks. A basic understanding of data engineering concepts, familiarity with data analytics, and some experience with cloud computing or programming languages such as Python or SQL will help readers fully benefit from the book’s content. TABLE OF CONTENTS SECTION 1 1. Introducing Data Engineering with Databricks 2. Setting Up a Databricks Environment for Data Engineering 3. Working with Databricks Utilities and Clusters SECTION 2 4. Extracting and Loading Data Using Databricks 5. Transforming Data with Databricks 6. Handling Streaming Data with Databricks 7. Creating Delta Live Tables 8. Data Partitioning and Shuffling 9. Performance Tuning and Best Practices 10. Workflow Management 11. Databricks SQL Warehouse 12. Data Storage and Unity Catalog 13. Monitoring Databricks Clusters and Jobs 14. Production Deployment Strategies 15. Maintaining Data Pipelines in Production 16. Managing Data Security and Governance 17. Real-World Data Engineering Use Cases with Databricks 18. AI and ML Essentials 19. Integrating Databricks with External Tools Index
Real Time Data Analysis
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-02-02
Real Time Data Analysis written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Business & Economics categories.
In a world where information is generated every second, the ability to analyze real-time data has become essential for companies and professionals seeking fast, insight-driven decisions. "REAL-TIME DATA ANALYSIS – Frameworks and Techniques for Fast Processing", written by Diego Rodrigues, is the definitive guide for those who want to master the fundamental technologies and architectures for continuous data processing. This book provides a practical and in-depth approach to the leading frameworks and strategies used in the industry, including Apache Kafka, Flink, Spark Streaming, ClickHouse, Redis, and Lambda and Kappa architectures. Through detailed explanations and applicable examples, you will learn how to design efficient data pipelines, handle high-speed, low-latency processing, and implement scalable solutions for streaming analysis. Beyond the essential concepts, the book explores real-time data security, performance optimization, and advanced applications in IoT, finance, cybersecurity, and machine learning. Whether you are a data engineer, data scientist, or IT professional looking for practical knowledge to build robust continuous analysis systems, this book is the ideal tool to enhance your skills and impact the market with innovative solutions. Master real-time data analysis and be prepared for the challenges of the digital age. TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql mysql startup
Efficient Analytics With Clickhouse
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20
Efficient Analytics With Clickhouse written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
"Efficient Analytics with ClickHouse" Unlock the full potential of real-time, high-performance analytics with "Efficient Analytics with ClickHouse." This expertly crafted guide dives deep into the architectural foundations and advanced engineering principles behind ClickHouse, the leading open-source columnar database. Readers will gain thorough insight into ClickHouse’s core architecture, column-oriented storage, distributed system design, and compression strategies, developing an in-depth understanding of how the platform achieves rapid, scalable analysis across massive datasets. The book couples theoretical exposition with practical advice, unraveling internals—from the write path to query execution and consistency guarantees—that empower architects and engineers to make informed design decisions. Moving beyond database fundamentals, the book equips readers with actionable strategies for deployment, operational management, and robust cluster orchestration, whether on-premises or in cloud-native environments. It addresses essentials such as schema and table design, time-series and mutable data handling, seamless ETL and streaming integrations, resilient backup and disaster recovery, and ironclad security and compliance controls. Rich, hands-on chapters guide through the intricacies of node organization, hardware optimization, monitoring, and high-availability strategies, ensuring high uptime and operational agility in production environments. Designed for both technical architects and data engineers, "Efficient Analytics with ClickHouse" also explores advanced topics central to delivering business-critical analytics solutions, including performance engineering, adaptive query optimization, and ecosystem integration with leading BI, data lake, and machine learning tools. Readers will come away equipped not only to build blazing-fast analytical infrastructures, but also to extend ClickHouse’s capabilities for modern, evolving data workloads. This definitive guide is an essential companion for those seeking mastery in next-generation analytics at scale.
Superset Data Exploration And Analysis Framework
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Superset Data Exploration And Analysis Framework written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
"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.
Apache Superset Quick Start Guide
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Author : Shashank Shekhar
language : en
Publisher:
Release Date : 2018-12-15
Apache Superset Quick Start Guide written by Shashank Shekhar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-15 with Computers categories.
Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards. Key Features Work with Apache Superset's rich set of data visualizations Create interactive dashboards and data storytelling Easily explore data Book Description Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers. What you will learn Get to grips with the fundamentals of data exploration using Superset Set up a working instance of Superset on cloud services like Google Compute Engine Integrate Superset with SQL databases Build dashboards with Superset Calculate statistics in Superset for numerical, categorical, or text data Understand visualization techniques, filtering, and grouping by aggregation Manage user roles and permissions in Superset Work with SQL Lab Who this book is for This book is for data analysts, BI professionals, and developers who want to learn Apache Superset. If you want to create interactive dashboards from SQL databases, this book is what you need. Working knowledge of Python will be an advantage but not necessary to understand this book.
Architecting Real Time Analytics With Druid
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12
Architecting Real Time Analytics With Druid written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.
"Architecting Real-Time Analytics with Druid" "Architecting Real-Time Analytics with Druid" is a comprehensive guide for engineers, architects, and data professionals seeking to harness the full power of Apache Druid for large-scale, low-latency analytics. The book opens with a thorough exploration of the real-time analytics landscape, carefully positioning Druid within the modern data ecosystem alongside databases, warehouses, and stream processors. Readers are equipped with foundational context on the architectural drivers behind real-time analytics, receive guidance on navigating the book based on their unique use cases, and benefit from a candid discussion of both success factors and common pitfalls for organizations new to this fast-evolving space. Delving into the technical depths, the book systematically unpacks Druid’s architecture, including its core components, storage internals, and data ingestion pipelines supporting both stream and batch modalities. It offers advanced strategies for modeling schemas, managing high-cardinality and semi-structured data, and tuning ingestion for correctness and resilience at scale. Chapters on query performance, resource management, high availability, and operational best practices ensure that readers can design, deploy, and maintain robust Druid clusters able to withstand the rigors of production workloads in fields ranging from financial surveillance to IoT telemetry. Recognizing the multifaceted needs of contemporary analytics platforms, "Architecting Real-Time Analytics with Druid" extends its coverage to advanced Druid extensions, integration patterns for BI and data science, and the implementation of security, governance, and compliance protocols. The book brings theory to life through case studies drawn from mission-critical deployments in telecommunications, fraud detection, and media analytics, concluding with a forward-looking view on serverless architectures, AI-driven operations, and emerging trends shaping the future of real-time analytics. This resource is essential reading for anyone seeking to build resilient, scalable, and innovative analytics solutions with Apache Druid at their core.
Business Intelligence And Data Analysis In The Age Of Ai
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Author : Arshad Khan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-03-01
Business Intelligence And Data Analysis In The Age Of Ai written by Arshad Khan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI’s transformative power to help professionals and newcomers excel in the data era. Whether you're a seasoned professional or new to BI, this book provides actionable strategies to navigate the complexities of modern data analysis. Embark on this illuminating journey to master the tools, strategies, and ethical considerations that define modern business intelligence and AI. FEATURES • BI Fundamentals: Master analytics processes and tools • Ethical and Regulatory Challenges: Navigate governance, security, privacy, and ethical frameworks • BI Tools: Learn the power of tools like R, SQL, Python, and data manipulation techniques • Visualize and Predict: Learn data visualization and predictive analytics to forecast trends and drive innovation • Embrace the Future: Discover how AI transforms BI, unlocking new opportunities and navigating emerging risks.
Mastering Aws Elastic Kubernetes Services
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Author : Siva Guruvareddiar
language : en
Publisher: BPB Publications
Release Date : 2024-11-28
Mastering Aws Elastic Kubernetes Services written by Siva Guruvareddiar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
DESCRIPTION “Mastering AWS Elastic Kubernetes Services" is your comprehensive guide to understanding and implementing AWS EKS. This book helps you master Kubernetes, the industry-standard container orchestration platform, on the robust and scalable Amazon Web Services (AWS) cloud. This book is a complete guide to Kubernetes and AWS EKS, starting with the basics of Kubernetes architecture and container orchestration. It introduces AWS EKS, explaining its setup, configuration, and fully managed features on AWS. Advanced topics like networking, security, storage, scaling, and AWS EKS cluster optimization are covered in detail. With practical exercises and real-world applications, the book equips readers to confidently deploy, manage, and fine-tune Kubernetes applications on AWS, helping you gain expertise in implementing CI/CD pipelines for AWS EKS deployments, establishing robust networking policies, and architecting storage solutions for various workload requirements. By the end of this book, you will be equipped with the knowledge to design and manage production-ready AWS EKS environments that align with industry best practices and AWS Well-Architected Framework principles. KEY FEATURES ● Learn end-to-end EKS, from core Kubernetes concepts to advanced cluster operations. ● Master practical skills in EKS security, monitoring, and disaster recovery planning. ● Gain expertise in CI/CD, GitOps, and integration with other AWS cloud services. WHAT YOU WILL LEARN ● Design and deploy production-ready EKS clusters from ground up. ● Implement robust security measures and access controls for EKS workloads. ● Build automated CI/CD pipelines and GitOps workflows for EKS deployments. ● Master EKS networking, storage solutions, and AWS service integrations. ● Establish effective monitoring, logging, and troubleshooting strategies for clusters. ● Architect scalable and resilient applications using EKS best practices. WHO THIS BOOK IS FOR Whether you are a DevOps engineer, cloud architect, or platform administrator, you will learn to design, deploy, and maintain production-grade AWS EKS clusters with confidence with the help of this book. TABLE OF CONTENTS 1. Introduction to Kubernetes 2. Kubernetes Architecture 3. Kubernetes Components 4. Introduction to Amazon Elastic Kubernetes Service 5. Amazon Elastic Kubernetes Service Architecture 6. Setting up Elastic Kubernetes Service Prerequisites 7. Creating Elastic Kubernetes Service Clusters 8. Accessing and Configuring Elastic Kubernetes Service Clusters 9. Deploying Sample Apps on AWS Elastic Kubernetes Service Clusters 10. Managing Stateful Apps on AWS Elastic Kubernetes Service Clusters 11. Scaling AWS Elastic Kubernetes Services Workloads 12. Networking with AWS Elastic Kubernetes Services 13. Securing AWS Elastic Kubernetes Service Clusters 14. Storage Options for AWS EKS Workloads 15. Monitoring AWS EKS Clusters 16. Logging and Troubleshooting AWS EKS Clusters 17. Integrating EKS with Other AWS Services 18. Continuous Integration and Continuous Deployment Pipelines for Amazon EKS 19. GitOps Workflows with Amazon EKS 20. Backup and Disaster Recovery with Amazon EKS 21. Amazon EKS Optimization and Best Practices 22. Data Workloads on Amazon EKS 23. Generative Artificial Intelligence on Amazon EKS