Elasticsearch is a popular search engine based on Lucene. It provides a distributed, multitenant-capable, full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. So, if you’re interested to create flexible and scalable search solutions using Elasticsearch and get knowledge of the node and cluster aspects, then go for this Learning Path. Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Learn to manage mapping, indices, and documents Use the task management and Hot thread API Lets take a quick look at your learning journey. This Learning Path dives into the third-party integration aspect of Elasticsearch. It gives you a detailed coverage of how Elasticsearch can be integrated with popular languages such as Python, Java, and Scala, as well as shows you how Elasticsearch is integrated with third-party tools for efficient big data solutions. Further, you will learn practical recipes on the major operations such as searching, working with text, numeric and geo queries, performing aggregations and scripting. Moving on you will dive into node and cluster management aspects of Elasticsearch. You will be acquainted with recipes and hands-on solutions to backing up and restoring your nodes and clusters in Elasticsearch, as well as working with user interfaces. By the end of this Learning Path, you will be able to integrate Elasticsearch with Java, Python, Scala and create flexible and scalable search solutions. Meet Your Expert: We have combined the best works of the following esteemed author to ensure that your learning journey is smooth: Alberto Paro is an engineer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages.
