Packt Learning Elasticsearch 6
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This course is a hands-on guide to using Elasticsearch used in conjunction with Elastic Stack, to ship, parse, store, and analyze data. You’ll start this course by getting an understanding of what Elasticsearch is, what it’s used for, and why it’s important. Then you’ll be introduced to the new features in Elasticsearch 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 the 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’ll also implement Machine Learning in a 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 sufficient knowledge to use it in the real world.
What You Will Learn:
Get an introduction to Elasticsearch 6, what differentiates ver 6 from ver 5.5, setup/installation and understand the parts that make-up Elasticsearch that results in no single point of failure
Find out about indices, documents, nodes, types, and clusters
Dive deeper into Elasticsearch interactions with filers, ranges, matches along with aggregations
Go into ElasticStack and use Kibana, logstash and filebeats, to develop a pipeline to get data from an external source into ElasticSearch
Dispel myths about Elasticsearch and get use case examples
Run more advanced DSL queries
Find out about Machine Learning in Elasticsearch
Build an Elasticsearch application