Learn Elasticsearch 5 and Elastic stack

Technology - Frank Kane

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61 Lessons ( 8h 8m )

Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana. You'll learn how to manage operations on your Elastic Stack, using X-Pack to monitor your cluster's health, and how to perform operational tasks like scaling up your cluster and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud using Amazon Elasticsearch Service and the Elastic Cloud. Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use.

 

Learning Objectives:

  • Install and configure Elasticsearch 6 on a cluster
  • Create search indices and mappings
  • Search full-text and structured data in several different ways
  • Import data into Elasticsearch using several different techniques
  • Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
  • Aggregate structured data using buckets and metrics
  • Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch
  • Use Filebeats and the Elastic Stack to import streaming data at scale
  • Analyze and visualize data in Elasticsearch using Kibana
  • Manage operations on production Elasticsearch clusters
  • Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud
 

Instructor

Frank Kane

Founder: Sundog Education

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically…

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What will you cover?

  •   Introduction and Installing Elasticsearch 00:17:12
  •   Elasticsearch Overview 00:05:44
  •   Using Elasticsearch 00:09:01
  •   Elasticsearch Architecture 00:06:46
  •   Quiz 00:04:24

Instructor

Frank Kane

Founder: Sundog Education

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically…

Training 5 or more people?

Get your team access to WIISE top 2,000 courses anytime, anywhere.

Try WIISE for Business

Project Description:

This class has several hands-on supporting materials as you work through the videos, but our favorite is toward the end where we will show how to use Kibana to envision the data in our Elasticsearch index. Our challenge is to use the index for the complete works of William Shakespeare we set up in early in the class and use Kibana to envision which plays have the highest number of lines in them. 

You can extend this to explore Shakespeare in other ways, too - what words are most common in Shakespeare's plays? Which character has the most lines? There's a lot of observation in Kibana which can give you, and you'll see it's not just limited to analyzing weblogs and time series data.

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