Need trainer for Elastic search

Elastic Search Training Course Outline Duration: - 5 Days (8hrs per day) OVERVIEW: ELK is an acronym of Elastic search, Logstash, and Kibana. Each of these is nothing, but an open-source project. This training program also explains the best possible methods of using the Elastic Search, Logstash, and Kibana with other products and separately. Target Audience Full Stack Technical Architects Big Data Analytics Engineers – Elastic Search System Log Analysts Web Analysts Web Administrators Prerequisites: To master the ELK Stack concepts, a candidate must-have the basic understanding of the following: SQL JSON Data Format Restful API Hands on and interactive: Students are encouraged to follow along in the Kibana developer tools to try out queries as the instructor goes through the material. The course is very hands-on and interactive. There are also plenty of hands-on labs. Introduction to ELK Stack Introduction to Logstash Introduction to Elastic Search Searching in Depth Dealing with Human Languages Aggregation Introduction to Data Modeling Geo-locations Introduction to Kibana Discovering the Data in Depth and Dashboard Analysis Tools and Plugins Head X-pack Kopf Sense Cygwin Postman Bigdesk Grafana Kibi Beats Curl Lab Set up for the training. 1] HARDWARE REQUIREMENT a] Mac or Windows with Min 8GB ram b] Latest version of Chrome or Firefox (Safari is not 100% supported) c] Stable internet connection (virtual classroom) d] Due to virtual classroom, we recommend that you disable any ad-blockers and restart your browser before class. 2] SOFTWARE REQUIREMENT[ Latest Version] a] JAVA 8 or more [[login to view URL]] b] ElasticSeach 7.* [[login to view URL]] c] Logstash 7.* [ [login to view URL]] d] Kibana 7.* [[login to view URL]] e] Plugins [[login to view URL]] -> X-Pack -> Beats f] Cygwin with curl installed into it [[login to view URL]] g] Chrome plugin Postman [[login to view URL]] h] NODE JS [[login to view URL]] i] Apache Lucene [[login to view URL]] j] Prometheus [[login to view URL]] j] Grafana [[login to view URL]] k] MySQL [[login to view URL]]