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Working with Elasticsearch is a five-day, hands-on course that provides you with a fundamental understanding of the stack components, features and benefits, and teaches you the skills required to use it efficiently to build powerful real-time data processing applications.

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Unlimited Duration

Last Updated

March 3, 2021

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Certification

This skills-focused course is approximately 50% hands-on lab to 50% lecture ratio, combining engaging lecture, demos, group activities and discussions with machine-based labs and exercises. In this course you will learn about:

In this course you will learn about:

Course Curriculum

    • What is Elasticsearch, and why use it? 00:00:00
    • Exploring the components of the Elastic Stack 00:00:00
    • Use cases of Elastic Stack 00:00:00
    • Downloading and installing 00:00:00
    • Using the Kibana Console UI 00:00:00
    • Core concepts of Elasticsearch 00:00:00
    • CRUD operations 00:00:00
    • Creating indexes and taking control of mapping 00:00:00
    • REST API overview 00:00:00
    • The basics of text analysis 00:00:00
    • Searching from structured data 00:00:00
    • Searching from the full text 00:00:00
    • Writing compound queries 00:00:00
    • Modeling relationships 00:00:00
    • The basics of aggregations 00:00:00
    • Preparing data for analysis 00:00:00
    • Metric aggregations 00:00:00
    • Bucket aggregations 00:00:00
    • Pipeline aggregations 00:00:00
    • Log analysis challenges 00:00:00
    • Using Logstash 00:00:00
    • The Logstash architecture 00:00:00
    • Overview of Logstash plugins 00:00:00
    • Ingest node 00:00:00
    • Parsing and enriching logs using Logstash 00:00:00
    • Introducing Beats 00:00:00
    • Filebeat 00:00:00
    • Downloading and installing Kibana 00:00:00
    • Preparing data 00:00:00
    • Kibana UI 00:00:00
    • Timelion 00:00:00
    • Using plugins 00:00:00
    • Installing Elasticsearch and Kibana with X-Pack 00:00:00
    • Configuring X-Pack 00:00:00
    • Securing Elasticsearch and Kibana 00:00:00
    • Monitoring Elasticsearch 00:00:00
    • Alerting 00:00:00
    • Hosting Elastic Stack on a managed cloud 00:00:00
    • Hosting Elastic Stack on your own 00:00:00
    • Backing up and restoring 00:00:00
    • Setting up index aliases 00:00:00
    • Setting up index templates 00:00:00
    • Modeling time series data 00:00:00
    • Introduction to the application 00:00:00
    • Modeling data in Elasticsearch 00:00:00
    • Setting up the metadata database 00:00:00
    • Building the Logstash data pipeline 00:00:00
    • Sending data to Logstash over HTTP 00:00:00
    • Visualizing the data in Kibana 00:00:00
    • Monitoring Server Infrastructure 00:00:00
    • Metricbeat 00:00:00
    • Configuring Metricbeat 00:00:00
    • Capturing system metrics 00:00:00
    • Deployment architecture 00:00:00

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