Elasticsearch

Why should you attend?

Elasticsearch, a powerful open-source search and analytics engine, has become essential for developers and companies looking to implement real-time, scalable search functionalities in their applications. This course takes you on a deep dive into the world of Elasticsearch, starting with its history and foundational concepts of search mechanisms. You'll learn how to install and set up Elasticsearch, understand the basics of full-text search and information retrieval, and get acquainted with the Elastic Stack. As the course progresses, you'll explore how to interact with Elasticsearch using the REST API and from various programming languages, delve into query types, scalability options, and the intricacies of the analysis chain including index mappings, analyzers, tokenizers, and token filters. The training also covers creating custom analyzers and utilizing index mappings to fine-tune analysis and other index features. Advanced topics such as the Search API's pagination, sorting, precision, recall, scoring mechanisms, scripting, query explanation, profiling, results highlighting, and power query tools are thoroughly discussed. The latter part of the course introduces document-oriented design principles vital for Elasticsearch success, suggesters for improved query suggestions, record linkage techniques like MoreLikeThis for finding similar documents, geo-spatial search capabilities, multilingual search considerations, anomaly detection methods, and the percolator feature for pre-query document matching. Additionally, you will learn about real-time data analysis and reporting using the Aggregations Framework alongside Kibana for visualization purposes. Finally, performance optimization strategies for indexing/searching, node settings adjustments, shard/replica configurations for scaling Elasticsearch clusters effectively are covered along with essential monitoring and administration practices.