Elasticsearch 5.x Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elasticsearch 5.x Cookbook write by Alberto Paro. This book was released on 2017-02-06. Elasticsearch 5.x Cookbook available in PDF, EPUB and Kindle. Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x About This Book Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x Who This Book Is For If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected. If you want to extend Elasticsearch, understanding of Java and related technologies is also required. What You Will Learn Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins Develop tailored mapping to take full control of index steps Build complex queries through managing indices and documents Optimize search results through executing analytics aggregations Monitor the performance of the cluster and nodes Install Kibana to monitor cluster and extend Kibana for plugins Integrate Elasticsearch in Java, Scala, Python and Big Data applications In Detail Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We'll guide you through comprehensive recipes on what's new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch. Style and approach This book follows a problem-solution approach to effectively use and manage Elasticsearch. Each recipe focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.
Mastering Elasticsearch 5.x
Mastering Elasticsearch 5.x - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering Elasticsearch 5.x write by Bharvi Dixit. This book was released on 2017-02-21. Mastering Elasticsearch 5.x available in PDF, EPUB and Kindle. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions About This Book Master the searching, indexing, and aggregation features in ElasticSearch Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease Who This Book Is For If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn Understand Apache Lucene and Elasticsearch 5's design and architecture Use and configure the new and improved default text scoring mechanism in Apache Lucene 6 Know how to overcome the pitfalls while handling relational data in Elasticsearch Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly Explore the right way of scaling production clusters to improve the performance of Elasticsearch Master the searching, indexing, and aggregation features in Elasticsearch Develop your own Elasticsearch plugins to extend the functionalities of Elasticsearch In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. Style and approach This comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.
ElasticSearch 5.x Solutions
ElasticSearch 5.x Solutions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ElasticSearch 5.x Solutions write by Alberto Paro. This book was released on 2017. ElasticSearch 5.x Solutions available in PDF, EPUB and Kindle. "Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This course is your one-stop guide to master the complete Elasticsearch ecosystem. We'll guide you what's new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping. Right from downloading and setting up Elasticsearch to configuring it for your needs, this course goes on to give you a brief overview of the mappings and the basic operations that you can perform on your data with the help of Elasticsearch."--Resource description page.
ElasticSearch 5.x Solutions
ElasticSearch 5.x Solutions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ElasticSearch 5.x Solutions write by Alberto Paro. This book was released on 2017. ElasticSearch 5.x Solutions available in PDF, EPUB and Kindle. "Spanning around 4 hours, this course dives straight into the core capabilities of Elasticsearch. It contains practical recipes on the major operations such as searching, working with text, numeric and geo queries, performing aggregations and scripting."--Resource description page.
ElasticSearch 5.x Solutions
ElasticSearch 5.x Solutions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ElasticSearch 5.x Solutions write by Alberto Paro. This book was released on 2017. ElasticSearch 5.x Solutions available in PDF, EPUB and Kindle. "This highly practical course focuses primarily on the node and cluster management aspects of Elasticsearch. The video contains recipes and hands-on solutions to backing up and restoring your nodes and clusters in Elasticsearch, as well as working with user interfaces."--Resource description page.
