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Superset Data Exploration And Analysis Framework


Superset Data Exploration And Analysis Framework
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Superset Data Exploration And Analysis Framework


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.



Ultimate Apache Superset For Data Visualization And Analytics


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



Big Data And Analytics


Big Data And Analytics
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Author : Dr. Jugnesh Kumar
language : en
Publisher: BPB Publications
Release Date : 2024-03-05

Big Data And Analytics written by Dr. Jugnesh Kumar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Computers categories.


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



Big Data Analytics


Big Data Analytics
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Author : Ümit Demirbaga
language : en
Publisher: Springer Nature
Release Date : 2024-05-07

Big Data Analytics written by Ümit Demirbaga and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Computers categories.


This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their big data analytics skills using various big data analytics frameworks. The book will be of interest to business executives and IT managers as well as university students and their course leaders, in fact all those who want to get involved in the big data world.



Introduction To Marketing Analytics


Introduction To Marketing Analytics
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Author : Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
language : en
Publisher: Notion Press
Release Date : 2024-10-15

Introduction To Marketing Analytics written by Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Business & Economics categories.


Introduction to Marketing Analytics delves into the foundational elements of marketing, known as the 4Ps—Product, Price, Place, and Promotion—and expands upon them to include additional key components crucial for services marketing, such as People, Process, and Physical Evidence. These elements are vital for companies to develop coherent marketing strategies that not only attract new customers but also build long-term loyalty among existing ones. The rise of digital technologies has significantly transformed how companies engage with consumers and conduct market research. Big data analytics now allows for personalized marketing efforts, creating campaigns offering organizations the ability to better understand and respond to customer journeys. Moreover, the book highlights the growing role of artificial intelligence (AI) and machine learning in modern marketing strategies. By integrating these advanced technologies, businesses can better meet their customers’ evolving needs, outpacing the competition. It covers various analysis techniques, such as marketing mix modelling, that help organizations understand the impact of different marketing activities on sales and other key performance indicators (KPIs). Through real-life examples and case studies, this book highlights a practical guide for professionals looking to apply data-driven marketing strategies to drive growth, innovation, and sustainable success in a constantly changing market landscape.



Mastering Apache Pinot


Mastering Apache Pinot
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-12-30

Mastering Apache Pinot written by Robert 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 2024-12-30 with Computers categories.


"Mastering Apache Pinot: Real-Time Analytics at Scale" is an authoritative resource designed to equip readers with the comprehensive knowledge needed to harness the full potential of Apache Pinot, a powerful real-time distributed OLAP datastore. As the demand for rapid data insights grows, Apache Pinot emerges as a vital tool, enabling organizations to process vast data streams with unmatched speed and efficiency. This book meticulously covers every facet of Apache Pinot, from setup to advanced configuration, providing readers a clear road map to deploying robust, scalable analytic solutions. The text delves into the practicalities of data ingestion, schema design, and query optimization, offering practical guidance for maximizing system performance. Readers will explore how to integrate Pinot with a wide array of data systems, securing data while ensuring seamless access and control. Real-world case studies across diverse industries are presented, demonstrating Apache Pinot's transformative role in driving data-driven decisions. Additionally, the book anticipates future trends and provides insights into best practices, empowering readers to stay ahead in the rapidly evolving analytics landscape. Ideal for data engineers, analysts, and IT professionals, "Mastering Apache Pinot" serves as both an instructive guide and a valuable reference, skillfully blending theoretical concepts with actionable insights. This book invites readers to not only implement effective analytics infrastructure but also actively contribute to the dynamic Apache Pinot community, fostering continued growth and innovation in real-time data processing.



New Trends In Database And Information Systems


New Trends In Database And Information Systems
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Author : Ladjel Bellatreche
language : en
Publisher: Springer Nature
Release Date : 2021-08-10

New Trends In Database And Information Systems written by Ladjel Bellatreche and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-10 with Computers categories.


This book constitutes thoroughly reviewed and selected short papers presented at the 25th East-European Conference on Advances in Databases and Information Systems, ADBIS 2021, as well as papers presented at doctoral consortium and ADBIS 2021 workshops. Due to the COVID-19 the conference and satellite events were held in hybrid mode. The 11 full papers and 18 short papers were carefully reviewed and selected from 97 total submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data - From Data to Knowledge, DOING 2021; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2021; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2021; Workshop on Advances in Data Systems Management, Engineering, and Analytics, MegaData 2021; Workshop on Computational Aspects of Network Science, CAoNS 2021; Doctoral Consortium.



Metadata And Semantic Research


Metadata And Semantic Research
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Author : Michalis Sfakakis
language : en
Publisher: Springer Nature
Release Date : 2025-02-25

Metadata And Semantic Research written by Michalis Sfakakis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.


This book constitutes the refereed post proceedings of the 18th Research Conference on Metadata and Semantic Research, MTSR 2024, held in Athens, Greece, during November 19–22, 2024. The 23 full papers and 6 short papers included in this book were carefully reviewed and selected from 59 submissions. These papers were organized in the following sections: track on metadata, linked data, semantics and ontologies - general session; track on open repositories, research information systems & data infrastructures; track on digital libraries, information retrieval, big, linked, social & open data; track on cultural collections & application; track on european and national projects; and 8th dOAbLE - papers for libraries, archives,museums; track on agriculture, food & environment (agroSEM'24); track on digital humanities and digital curation.



Apache Superset Quick Start Guide


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.



Tools And Algorithms For The Construction And Analysis Of Systems


Tools And Algorithms For The Construction And Analysis Of Systems
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Author : Bernhard Steffen
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-03-18

Tools And Algorithms For The Construction And Analysis Of Systems written by Bernhard Steffen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-18 with Computers categories.


ETAPS'99 is the second instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conferences. This year it comprises ve conferences (FOSSACS, FASE, ESOP, CC, TACAS), four satellite workshops (CMCS, AS, WAGA, CoFI), seven invited lectures, two invited tutorials, and six contributed tutorials. The events that comprise ETAPS address various aspects of the system - velopment process, including speci cation, design, implementation, analysis and improvement. The languages, methodologies and tools which support these - tivities are all well within its scope. Dieren t blends of theory and practice are represented, with an inclination towards theory with a practical motivation on one hand and soundly-based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware systems, and the emphasis on software is not intended to be exclusive.