Mastering Geoserver
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Mastering GeoServer
Author: Colin Henderson
language: en
Publisher: Packt Publishing Ltd
Release Date: 2014-11-25
If you are a GIS professional who intends to explore advanced techniques and get more out of GeoServer deployment rather than simply delivering good looking maps, then this book is for you.
Mastering PostGIS
Author: Dominik Mikiewicz
language: en
Publisher: Packt Publishing Ltd
Release Date: 2017-05-31
Write efficient GIS applications using PostGIS - from data creation to data consumption About This Book Learn how you can use PostGIS for spatial data analysis and manipulation Optimize your queries and build custom functionalities for your GIS application A comprehensive guide with hands-on examples to help you master PostGIS with ease Who This Book Is For If you are a GIS developer or analyst who wants to master PostGIS to build efficient, scalable GIS applications, this book is for you. If you want to conduct advanced analysis of spatial data, this book will also help you. The book assumes that you have a working installation of PostGIS in place, and have working experience with PostgreSQL. What You Will Learn Refresh your knowledge of the PostGIS concepts and spatial databases Solve spatial problems with the use of SQL in real-world scenarios Practical walkthroughs of application development examples using Postgis, GeoServer and OpenLayers. Extract, transform and load your spatial data Expose data directly or through web services. Consume your data in both desktop and web clients In Detail PostGIS is open source extension onf PostgreSQL object-relational database system that allows GIS objects to be stored and allows querying for information and location services. The aim of this book is to help you master the functionalities offered by PostGIS- from data creation, analysis and output, to ETL and live edits. The book begins with an overview of the key concepts related to spatial database systems and how it applies to Spatial RMDS. You will learn to load different formats into your Postgres instance, investigate the spatial nature of your raster data, and finally export it using built-in functionalities or 3th party tools for backup or representational purposes. Through the course of this book, you will be presented with many examples on how to interact with the database using JavaScript and Node.js. Sample web-based applications interacting with backend PostGIS will also be presented throughout the book, so you can get comfortable with the modern ways of consuming and modifying your spatial data. Style and approach This book is a comprehensive guide covering all the concepts you need to master PostGIS. Packed with hands-on examples, tips and tricks, even the most advanced concepts are explained in a very easy-to-follow manner. Every chapter in the book does not only focus on how each task is performed, but also why.
Mastering OpenSearch
Welcome to Mastering OpenSearch: A Comprehensive Guide. If you're reading this book, it's because you've recognized OpenSearch's immense potential and are eager to utilize its power for your projects and organization. This guide is designed for data engineers, developers, architects, and anyone seeking to navigate the intricacies of OpenSearch, empowering you to extract valuable insights from data efficiently. This book can serve as your definitive guide to unlocking the full potential of OpenSearch's powerful search engine, known for its versatility in managing modern data. Whether you're a developer, data engineer, or system architect, this book provides the skills to leverage OpenSearch’s capabilities, giving you a critical edge in search and data analytics. In today's digital landscape, the sheer volume of data generated every second is staggering. We face the challenge of searching, analyzing, and making sense of this data to deliver actionable insights. OpenSearch, a cornerstone of the ELK (OpenSearch, Logstash, OpenSearch Dashboard) stack, has emerged as a leading search and analytics engine renowned for its speed, scalability, and flexibility. It powers systems from full-text search to complex, real-time analytics, handling massive datasets and providing mission-critical support to global organizations. This book takes you through OpenSearch's vast capabilities, from foundational concepts to advanced implementations. Whether you're setting up your first cluster or looking to fine-tune existing deployments, this guide will offer insights tailored to your needs. Foundational Understanding: We'll begin with a robust introduction to OpenSearch's architecture, terminology, and basic operations. You'll understand how OpenSearch indexes, searches, and maps data to provide rapid search results. Cluster Architecture: Gain a thorough understanding of OpenSearch’s distributed architecture, from nodes and shards to clusters, and how these elements work together for horizontal scaling. Indexing Techniques: Learn about creating, managing, and optimizing indices, the cornerstone of OpenSearch data storage, for efficient search operations. Intermediate Techniques: Building on this foundation, we'll delve into more advanced features such as aggregations, data visualization, and effective index management. We'll discuss geo queries, nested data structures, and how to optimize queries to handle complex data types. Advanced Topics: In the final section, you'll encounter specialized topics like performance tuning, scaling OpenSearch clusters, and developing custom plugins. We'll explore practical strategies for enhancing security, monitoring, and employing machine learning features to identify patterns and trends in your data. Advanced Querying and Aggregation: Query DSL: Master OpenSearch’s Query Domain-Specific Language, enabling you to construct sophisticated queries that handle nuanced search requirements with precision. Aggregations: Dive deep into aggregation frameworks that provide powerful tools for real-time analytics, including complex aggregations like nested, scripted, and pipeline. Data Ingestion and Integration: Explore ways to seamlessly ingest and transform data with OpenSearch’s ingest nodes and processors. Implement data ingestion strategies using Logstash, Beats, and other ETL solutions to connect with various data sources. Performance Optimization: Optimize indexing through sharding, replication, and customized mapping. Leverage caching mechanisms and JVM tuning to reduce latency and boost throughput. Security and Monitoring: Implement robust security through authentication, authorization, and encryption to safeguard sensitive data. Monitoring and Troubleshooting: Use OpenSearch Dashboard and other tools for real-time monitoring and diagnostics, ensuring high availability and minimizing downtime. Real-World Applications: Examine case studies showcasing OpenSearch’s versatility, from e-commerce search solutions to log analytics. This book aims to cater to both newcomers and seasoned OpenSearch users. If you're starting out, we'll guide you through the initial setup and offer step-by-step instructions to implement core features. Experienced users will find fresh insights, best practices, and advanced techniques to elevate their OpenSearch knowledge. The book is structured to offer a comprehensive understanding of OpenSearch while maintaining accessibility. Each chapter provides practical examples, code snippets, and exercises that reinforce key concepts. By working through the examples, you'll gain the confidence to tackle real-world OpenSearch projects, whether for search, analytics, or application logging. I wrote this guide to create a one-stop resource for all things OpenSearch. With the software and big data landscape constantly evolving, it's essential to stay updated with the latest practices and developments. This guide aims to cover both tried-and-tested fundamentals and emerging trends to ensure you're well-prepared for the challenges ahead. Finally, thank you for choosing this book. I'm thrilled to share my knowledge and insights with you as you begin your journey toward Mastering the OpenSearch. Let's work together to fully unlock this incredible technology, enabling us to build faster, smarter, and more efficient applications. By the end, you'll have the expertise to design, implement, and manage scalable and secure search applications. You'll gain both theoretical understanding and practical insights, enabling you to tailor OpenSearch to your organization's unique data management needs.