This course runs for a duration of 3 days.
The class will run daily from 8:30 am EST to 4:30 pm EST.
Class Location: Raleigh - Raleigh, NC.
Space is limited. Enroll today.Enroll Now
In today’s world, we have so much data that it’s hard to find what we want. We need a tool that can help us find the needle in that Big Data haystack. The Elastic Stack, more commonly known as the ELK Stack, is a collection of tools to help you search all that data and find what you need.
The ELK Stack has become the most popular tool for ingesting data that you can later search and visualize. From log analysis to security monitoring, there are many use-cases for ELK.
This Elasticsearch training course is intended for engineers and architects who want to make sense of their machine data and learn how to ingest, search, analyze and visualize it all using the ELK Stack. You will start by learning how to install and configure all of the ELK Stack components—Elasticsearch, Logstash, Kibana, Beats, and X-Pack. Next, you will learn how to collect the data you need with Logstash and Beats and send into Elasticsearch, the search and analytics engine. By the end of this course, you will learn how to visualize all of this data in Kibana. You will also learn to use X-Pack to notify yourself and your team when problems are found that you can investigate and fix them.
In this Elasticsearch Training, You Will Learn How to:
Who Should Attend
This Elasticsearch training course is intended for engineers and architects who want to make sense of their machine data and learn how to ingest, search, analyze and visualize it all using the ELK Stack. Some professions that may find this course particularly useful include:
Part 1: Getting started with Elastic Stack
Part 2: Getting started with Elasticsearch
Part 3: Querying Elasticsearch
Part 4: Aggregations in Query DSL
Part 5: Define how Elasticsearch stores and indexes data with mapping
Part 6: Extending Elasticsearch functionality with plugins and integrations
Part 7: Fundamentals of Logstash
Part 8: Shipping data with Beats
Part 9: Visualizing data with Kibana
Part 10: Extending ELK deployment to production with X-Pack
Part 11: Putting it all together