
Learn basic concepts of Elasticsearch, including nodes, clusters, index, type, shard, and replica, and how to store and analyze data across a scalable, fault-tolerant system.
Explore Kibana as an open source visualization tool for Elasticsearch data, enabling time series analytics, application monitoring, and operational intelligence through interactive charts, maps, and dashboards.
Explore the structure of an Elasticsearch index, including mappings and settings, and learn why multiple types per index are no longer supported in 6.x.
Update and delete documents and indices in Elasticsearch, and understand that updates create new document versions, reflecting immutable documents rather than changes. Learn how deletions remove documents or entire indices.
Elasticsearch is a real-time distributed and open source full-text search and analytics engine based on Lucene and used in Single Page Application projects. Elasticsearch is open source licensed under the Apache and developed in Java. Elasticsearch is the most used Big Data technology after Hadoop and many believe that it would be surpassing Hadoop very soon and Elasticsearch is becoming popular since NoSQL tech space is also growing rapidly.
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.
In this course we will learn about Elasticsearch and Kibana. Elasticsearch, along with Kibana and Logstash forms the Elastic Stack or ELK Stack. Kibana is an analytics and visualisation platform and Logstach is a data-collection and log-parsing engine.
Knowledge and experiecne of working with Elasticsearch and Kibana could be very useful in Big Data related job searches and the projects you get to work in your career. Elastic Stack is considered to be the most sought after Big Data Technology in coming years.
This course will help you get knowledge and working knowledge of ElasticSearch & Kibana so that you can run and operate your own Elasticsearch cluster.