Learning ElasticSearch 6

This course is a hands-on guide to using Elasticsearch used in conjunction with Elastic Stack to send, parse, store, and analyze data. You will start this course by getting an understanding of what Elasticsearch is, what it’s used for, and why it’s important. You’ll be introduced to the new features in Elasticsearch Then 6.

We’ll cover each of the fundamental components such as indices, documents, nodes and clusters, all which form the dichotomy of Elasticsearch. You’ll find out how to add more power to your searches using filters, ranges, and more. You’ll also see how Elasticsearch can be used with other components of the Elastic Stack such as LogStash, Kibana, and Beats to get data into an Elasticsearch cluster.

As well as learning how to add more power to your searches with filters, ranges, and more, you’ll also see how to run advanced queries and aggregations on Elasticsearch 6. We will also implement Machine Learning in step by step walk-through example of anomaly detection. We conclude by developing a quick working Elasticsearch application.

By the end of this course, you’ll have a firm understanding of all the fundamentals of Elasticsearch 6, along with enough knowledge to use it in the real world.