The term BigData brings into the table a huge headache to companies in regards to where should we store the data, how do we store it and more importantly - how do we search it and how can we get advanced analytics such as business KPI’s, Machine Learning and anomalies detection on top of that data.
ELK became the new-age frameworks which is capable of handling Big Data demands and scale from multiple data sources with “ease”.
Over the years the ELK stack has become quite popular, and for a good reason. It is a very robust, mature and feature rich framework. ELK is used by large enterprises, government organizations and startups alike. The ELK stack has a very rich and active community behind it. They develop, share and support tons of source code, components, plugins and knowledge about these tools freely and openly.
In this course, we will focus on one such enterprise search engine - The ElasticSearch which is one of the core components of the ELK stack. We will look at the overview and explore the technology that goes into this tool and how to really use it and utilize it for our very specific needs by tying it up with Logstash and Kibana and by building business dashboards with Grafana on top Elasticsearch.
As the title suggests – this course aims to provide you enough knowledge about ELK and ElasticSearch so that you can run and operate your own search cluster using these components together.