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The Definitive Guide to OpenSearch

The Definitive Guide to OpenSearch

By : Jon Handler, Soujanya Konka, Prashant Agrawal
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The Definitive Guide to OpenSearch

The Definitive Guide to OpenSearch

By: Jon Handler, Soujanya Konka, Prashant Agrawal

Overview of this book

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.
Table of Contents (21 chapters)
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1
Part 1: Getting Started with OpenSearch: Fundamentals and Deployment
5
Part 2: Data Management and Discovery: Indexing, Querying, and Visualization
10
Part 3: Extending OpenSearch: Plugins, AI Integration, and Application Development
15
Part 4: Securing and Optimizing OpenSearch: Administration Best Practices
20
Index

OpenSearch in Action: Making Apps Awesome

In the previous chapters, we explored the power of advanced querying and aggregations, learning how OpenSearch is not just a search engine but a powerful analytics tool. We covered Boolean queries, geospatial searches, and aggregations, demonstrating how OpenSearch can transform raw data into valuable insights.

Now, we shift from analyzing data to building an app. In this chapter, we’ll see how OpenSearch can become the core engine of an app. Think of OpenSearch as a powerful search brain that can communicate with your app in a super-smart way, making it easy to retrieve, filter, and analyze data. But OpenSearch doesn’t work in isolation. It can integrate smoothly with different tools, cloud services, and programming languages to build fully functional, scalable applications. Whether you’re using Python, JavaScript, or any other language, OpenSearch provides the flexibility to work with various frameworks and platforms...

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The Definitive Guide to OpenSearch
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