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Название: An Introduction to Spatial Data Science with GeoDa, Volume 1: Exploring Spatial Data
Автор: Luc Anselin
Издательство: CRC Press
Год: 2024
Страниц: 453
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

This book is the first in a two-volume series that introduces the field of Spatial Data Science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user’s guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa. The libgeoda library has a clearly defined Application Programming Interface (API), which allows other C++ code to access its functionality directly. In fact, this is what currently happens under the hood for part of desktop GeoDa, and in the experimental web-GeoDa (jsgeoda, implemented through jаvascript). In addition to achieving a more flexible interaction with different graphical user interface implementations, the API also allows other software, such as R or Python programs to access the functionality through well-defined wrapper code.

Название: An Introduction to Spatial Data Science with GeoDa: Volume 2: Clustering Spatial Data
Автор: Luc Anselin
Издательство: CRC Press
Год: 2024
Страниц: 238
Язык: английский
Формат: pdf (true)
Размер: 34.7 MB

This book is the second in a two-volume series that introduces the field of spatial Data Science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an important component of so-called Unsupervised Learning, a major aspect of modern Machine Learning. The distinctive aspects of the book are both to explore ways to spatialize classic clustering methods through linked maps and graphs, as well as the explicit introduction of spatial contiguity constraints into clustering algorithms. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques and their relative advantages and disadvantages. The book also constitutes the definitive user’s guide for these methods as implemented in the GeoDa open source software for spatial analysis. It is organized into three major parts, dealing with dimension reduction (principal components, multidimensional scaling, stochastic network embedding), classic clustering methods (hierarchical clustering, k-means, k-medians, k-medoids and spectral clustering), and spatially constrained clustering methods (both hierarchical and partitioning). It closes with an assessment of spatial and non-spatial cluster properties.

Название: VMware vSphere Essentials: A Practical Approach to vSphere Deployment and Management
Автор: Luciano Patrão
Издательство: Apress
Год: 2024
Страниц: 708
Язык: английский
Формат: pdf
Размер: 27.2 MB

This book fills a vacuum in the market for high-quality information on a VMware vSphere system and offers a thorough introduction to VMware virtualization. Written for novices and those seeking more information about vSphere, this book walks you through its key concepts and technology, such as vSphere infrastructure creation, maintenance, and performance for beginners and advanced users. You'll take a step-by-step approach to guarantee you grasp the fundamental concepts and practical procedures required to construct and manage virtual machines in a VMware vSphere system. You'll explore the key components of vSphere with detail and explanation for each feature, including the hypervisor, networking, storage, and high availability, unravelling their intricacies and highlighting best practices. Virtualization is a revolutionary concept, abstracting away the differences between actual hardware and its digital counterparts. It allows multiple virtual machines to exist on one physical computer, using hardware abstraction and a hypervisor. This boosts efficiency, scalability, and adaptability in managing applications and environments. With various kinds of virtualization available, this technology has many advantages, such as reduced expenses, optimized resource use, and simplified administration. For system administrators, advanced vSphere administrators, and IT professionals pursuing VMware certifications.

Название: Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, 2nd Edition
Автор: Nathan Yau
Издательство: Wiley
Год: 2024
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 46.7 MB

One of the most influential data visualization books—updated with new techniques, technologies, and examples. Visualize This demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. Visualize This teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful. With this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. Details tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, jаvascript libraries, illustration software, and point-and-click applications.

Название: Azure Arc Systems Management: Governance and Administration of Multi-cloud and Hybrid IT Estates
Автор: Ramona Maxwell
Издательство: Apress
Год: 2024
Страниц: 298
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is for enterprise and solution architects, systems integrators, and anyone managing enterprise-scale, multi-cloud or hybrid IT landscapes. The book examines usage of Azure Arc for governance and systems management with security as an overarching theme. It is not an implementation manual but provides high-level guidance on best practices and links to detailed guidance. It offers insight into the types of problems that Azure Arc can solve, and will help you determine whether it is the right choice for your organization. Azure Arc is designed to provide a consolidated view of assets such as databases and Kubernetes installations across major cloud providers, edge locations, and customer-owned datacenters. It facilitates deployment of new infrastructure, patching and upgrades, monitoring, policy, and security controls for assets living on-premises or in competitor clouds as if they were native to Azure. While competitive products exist, at this writing none have the flexibility and reach of Arc to effectively manage very large hybrid estates. PostgreSQL, like other technologies covered in this book, owes its existence to Berkeley being a provenience of new computing technologies fostering solutions to some of the biggest data problems in enterprise computing while adhering to an open source model that let the best minds of the IT community test and enhance things like PostgreSQL and Spark. For enterprise and solution architects, systems integrators, and anyone else looking to solve enterprise-scale administration problems across a multi-cloud or hybrid architecture.

Название: Big Data and Analytics: The key concepts and practical applications of Big Data analytics
Автор: Jugnesh Kumar, Anubhav Kumar, Rinku Kumar
Издательство: BPB Publications
Год: 2024
Страниц: 467
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unveiling insights, unleashing potential: Navigating the depths of Big Data and analytics for a data-driven tomorrow. 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. Introduction to Hadoop - Hadoop's key characteristics, including distributed processing and storage, fault tolerance, and scalability, have made it the perfect solution for managing large and varied datasets. Hadoop has emerged as a top option for many data-driven applications due to benefits like affordability, compatibility with commodity hardware, and the capacity to process unstructured data. Its strong ecosystem, which includes different Hadoop distributions and Apache Pig for data processing, further strengthens its capabilities.

Название: PostgreSQL 15 Cookbook: Efficient data management with 100+ recipes
Автор: Mohammad Samsad Hussain
Издательство: BPB Publications
Год: 2024
Страниц: 480
Язык: английский
Формат: epub
Размер: 10.1 MB

Level up database administration with PostgreSQL 15 recipes for mastery. PostgreSQL 15 is a powerful, open-source database system known for its reliability, flexibility, and advanced features. It stores and manages data efficiently, making it ideal for everything from personal projects to large-scale applications. Get started with installation, configuration, and user management. Learn the basics of tables, views, and functions. Deploy your database securely on AWS, migrate seamlessly from other systems, and explore replication for high availability. Write efficient SQL queries, optimize performance, and safeguard your information with backups and recovery techniques. Control user access, implement robust security measures, and monitor your database health for proactive troubleshooting. Solve common errors and optimize performance, Practical tips and real-world scenarios provide a hands-on learning experience, making it easy to apply new knowledge. By the end of this book, you will have the confidence and skills to manage data like a pro, tackle challenges with ease, and unleash the full potential of PostgreSQL 15.

Название: Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Автор: Joseph Conley
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 354
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master the Fundamentals of Data Analytics at Scale. Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. One of the keys to Glue’s processing power is a data processing framework called Apache Spark. Spark is a powerful tool designed to handle Big Data - think of it as a supercharged engine for processing vast amounts of information quickly and efficiently. This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks.

Название: Simulation with Arena, 7th Edition
Автор: W. David Kelton, Nancy B. Zupick, Nathan J. Ivey
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 21.5 MB

Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The textbook begins by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The new edition now reflects Arena version 16.2, which contains many new and useful features. Arena simulation software is a tool to remove the guesswork from decision making and improve processes, efficiencies, work teams, and profitability. It uses 2D and 3D modeling and real world data to simulate various process scenarios and optimize system performance. It uses the SIMAN processor and simulation language. We assume neither prior knowledge of simulation nor computer-programming experience. We do assume basic familiarity with computing in general (files, folders, basic editing operations, etc.), but nothing advanced. A fundamental understanding of probability and statistics is needed. We also assume knowledge of basic derivative and integral calculus. Arena combines the ease of use found in high-level simulators with the flexibility of simulation languages and even all the way down to general-purpose procedural languages like the Microsoft Visual Basic programming system or C if you really want. It does this by providing alternative and interchangeable templates of graphical simulation-modeling and analysis modules that you can combine to build a fairly wide variety of simulation models. For specialized needs, like complex decision algorithms or accessing data from an external application, you can write pieces of your model in a procedural language like Visual Basic or C/C++.

Название: Oracle Cloud Infrastructure (OCI) GoldenGate: Real-world Examples
Автор: Y V Ravi Kumar, Raghavendra S, Ankur Goel
Издательство: Apress
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf, epub
Размер: 13.3 MB

This book focuses on the utilization of GoldenGate Services (GGS) in conjunction with a microservices architecture on the Oracle cloud (OCI), primarily for data migration and integration across various data sources and targets. The book begins with a practical example of utilizing GGS on a Marketplace VM, progressively advancing to in-depth discussions on implementing GoldenGate as a Service on OCI. The book offers illustrative guides for data replication between RDBMSs (such as Oracle, Postgres, and big data targets such as Kafka). Additionally, it explores monitoring techniques using Enterprise Manager and Grafana dashboards. A comparative analysis is presented between traditional VM-based GoldenGate installations and the OCI service model. Special attention is given to Zero Downtime Migration (ZDM) and leveraging GGS for database migration from on-premises to OCI. Some chapters address multi-cloud replication using OCI GGS and include real-life case studies. By the end of this book you will have gained comprehensive insights into the architectural design of GoldenGate Services and will be adept at replicating data using GGS, enabling you to replicate setups in your own environments. Oracle GoldenGate (OGG) is a software solution for real-time data integration and replication. It allows organizations to capture, transform, and move transactional data from one database to another, across different platforms and data environments, with minimal latency and impact on system performance. This ensures that databases remain synchronized, facilitating high availability, data migration, and real-time analytics.