Elastic Search Intro Attention is paid to the different ways in which Elastic Search can be deployed such as standalone, in a cluster, embedded or as a container. Also discussed is the fundamental unit of an Elastic Search document that can represent any type of relevant application data. Indices and Mappings Next it is explained what indices and mappings are and which data types can be assigned to fields. Various Elastic Search APIs are covered such as the Cluster APIs, the Indices APIs, the term vectors API and the bulk document API. Query DSL Attention is also paid to the Query DSL with which various queries can be executed such as full text queries, term level queries and geo queries. And explained is how mutations can be performed with queries. Java Client API Next attention is paid to how Elastic Search can be controlled from a Java application with Spring and Hibernate. Both the Java client API and the Java Rest Client are discussed. Elastic Stack The course concludes with an overview of the Elastic Stack with supporting applications and tools such as Kibana for visualization, Beats, Logstash and Testing Kit.