Master Amazon OpenSearch with this comprehensive guide, covering everything from basics to advanced techniques, and learn expert tips for efficient search and analytics
Key Features:
- Master installation, configuration, and usage, from crafting queries through to building dashboards
- Address real-world scenarios with detailed case studies, applying knowledge to practical projects and challenges
- Learn best practices, avoid pitfalls, and optimize OpenSearch setups with professional insights
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
From seasoned data professionals managing billions of records to aspiring analysts exploring diverse datasets, this guide is for users at all levels who want to make the most of OpenSearch's capabilities and functionalities. Written by distinguished AWS Solutions Architects Jon Handler, Ph.D., a former search engine developer, Prashant Agrawal, a search specialist, and Soujanya Konka, an expert in large-scale data migrations, this guide brings together deep technical expertise with practical, hands-on knowledge of implementing OpenSearch in real-world scenarios.
Starting with an introduction to OpenSearch, you'll get to grips with the key features before delving into essential topics such as installing OpenSearch, ingesting data, crafting queries, visualizing results, ensuring security, and optimizing performance. Each concept is accompanied by practical examples and tutorials, allowing you to grasp the material through hands-on experience.
Keeping up with OpenSearch's new releases and updates, this book equips you to fully leverage its potential through real-world scenarios and examples that demonstrate how OpenSearch works.
Whether enhancing your search experience or extracting insightful analytics from data, The Definitive Guide to OpenSearch provides developers, engineers, data scientists, and system administrators with the tools needed to thrive.
What You Will Learn:
- Understand OpenSearch fundamentals, architecture, and components
- Benefit from hands-on demos of data indexing, query crafting, and advanced features
- Master OpenSearch Dashboards to build monitoring solutions
- Discover techniques for scaling OpenSearch to handle large datasets and high traffic
- Explore performance optimization strategies
- Study example cases of successful OpenSearch applications
- Uncover OpenSearch integrations across industries through real-world cases
Who this book is for:
This book is ideal for data professionals, developers, engineers, data scientists, and system administrators seeking to harness the power of OpenSearch for search and analytics use cases. Whether you're a beginner or an experienced user, this guide offers valuable insights and practical knowledge to help you navigate the complexities of deploying and managing OpenSearch clusters effectively. For anyone looking to leverage OpenSearch for building robust search experiences and gaining actionable insights from data, this book is a must-have resource.
Table of Contents
- OpenSearch Overview
- Installing and Configuring OpenSearch
- Deploying OpenSearch on AWS
- Indexing Data
- Effective Querying Techniques
- Advanced Querying and Aggregations
- Query and Visualize OpenSearch data
- Introduction to OpenSearch Plugins
- Generative AI with OpenSearch
- OpenSearch in Action: Making Apps Awesome
- Migrate to OpenSearch
- Security in OpenSearch
- Monitoring, Backup, and Recovery
- Scaling and Performance Optimization
