Working with Elasticsearch 7.0

Gain the Modern Skills Required to Store, Manage and Analyze Data with Elasticsearch 7.0



4 Days

Course Overview

The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques.

Working with Elasticsearch is a four-day, hands-on course that provides students with a fundamental understanding of the stack components, features and benefits, and teaches them the skills required to use it efficiently to build powerful real-time data processing applications. The first few sections of the course teach students how to set up the stack by installing tools and exploring their basic configurations. Students will then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization.  The course also explores the technique of creating custom plugins using Kibana and Beats, as well as coverage of the Elastic X-Pack, a useful extension for effective security and monitoring.  The course also includes helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments

Students who attend this course will learn well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

Course Objectives

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 student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern "on-the-job" modern AI and machine learning experience into every classroom and hands-on project.

Working in a hands-on lab environment led by our expert instructor, attendees will

  • Gain access to new features and updates introduced in Elastic Stack 7.0
  • Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana
  • Explore useful tips for using Elastic Cloud and deploying Elastic Stack in production environments
  • Discover powerful analytics capabilities through aggregations using Elasticsearch
  • Install and configure an Elasticsearch architecture
  • Solve the full-text search problem with Elasticsearch
  • Build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis
  • Create interactive dashboards for effective storytelling with your data using Kibana
  • Learn how to secure, monitor and use Elastic Stack’s alerting and reporting capabilities
  • Take applications to an on-premise or cloud-based production environment with Elastic Stack

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional AI, machine learning, data science, programming, Python/R and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

Course Prerequisites

This course is geared for attendees wants to get guide to storing, managing, and analyzing data with the updated features of Elastic 7.0. Incoming students should possess:

  • Basic to Intermediate IT Skills, and Machine Learning knowledge
  • Good foundational mathematics or logic skills
  • Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su

Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Learning Path recommendations.


Course Agenda

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We will work with you to tune this course and level of coverage to target the skills you need most.

Introducing Elastic Stack

  • What is Elasticsearch, and why use it?
  • Exploring the components of the Elastic Stack
  • Use cases of Elastic Stack
  • Downloading and installing

Getting Started with Elasticsearch

  • Using the Kibana Console UI
  • Core concepts of Elasticsearch
  • CRUD operations
  • Creating indexes and taking control of mapping
  • REST API overview

Searching - What is Relevant

  • The basics of text analysis
  • Searching from structured data
  • Searching from the full text
  • Writing compound queries
  • Modeling relationships

Analytics with Elasticsearch

  • The basics of aggregations
  • Preparing data for analysis
  • Metric aggregations
  • Bucket aggregations
  • Pipeline aggregations

Analyzing Log Data

  • Log analysis challenges
  • Using Logstash
  • The Logstash architecture
  • Overview of Logstash plugins
  • Ingest node

Building Data Pipelines with Logstash

  • Parsing and enriching logs using Logstash
  • Introducing Beats
  • Filebeat

Visualizing Data with Kibana

  • Downloading and installing Kibana
  • Preparing data
  • Kibana UI
  • Timelion
  • Using plugins

Elastic X-Pack

  • Installing Elasticsearch and Kibana with X-Pack
  • Configuring X-Pack
  • Securing Elasticsearch and Kibana
  • Monitoring Elasticsearch
  • Alerting

Running Elastic Stack in Production

  • Hosting Elastic Stack on a managed cloud
  • Hosting Elastic Stack on your own
  • Backing up and restoring
  • Setting up index aliases
  • Setting up index templates
  • Modeling time series data

Building a Sensor Data Analytics Application

  • Introduction to the application
  • Modeling data in Elasticsearch
  • Setting up the metadata database
  • Building the Logstash data pipeline
  • Sending data to Logstash over HTTP
  • Visualizing the data in Kibana

Monitoring Server

  • Infrastructure
  • Metricbeat
  • Configuring Metricbeat
  • Capturing system metrics
  • Deployment architecture


Course Materials

Student Materials: Each student will receive a Student Guide with course notes, code samples, software tutorials, diagrams and related reference materials and links (as applicable). Our courses also include step by step hands-on lab instructions and and solutions, clearly illustrated for users to complete hands-on work in class, and to revisit to review or refresh skills at any time. Students will also receive the project files, datasets, code and solutions (as applicable) required for the hands-on work.

Classroom Setup Made Simple:  Our dedicated tech team will work with you to ensure your classroom and lab environment is setup, tested and ready to go well in advance of the course delivery date, ensuring a smooth start to class and seamless hands-on experience for your students. We offer several flexible student machine setup options including guided manual set up for simple installation directly on student machines, or cloud based / remote hosted lab solutions where students can log in to a complete separate lab environment minus any installations, or we can supply complete turn-key, pre-loaded equipment to bring ready-to-go student machines to your facility.  Please inquire for details.

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Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.

Course Title Days Date Time Price
Working with Elasticsearch 7.0 4 Days Apr 4 to Apr 6 10:00 AM to 06:00 PM EST $2,595.00 Enroll
Working with Elasticsearch 7.0 4 Days Jun 6 to Jun 8 10:00 AM to 06:00 PM EST $2,595.00 Enroll
Working with Elasticsearch 7.0 4 Days Aug 1 to Aug 3 10:00 AM to 06:00 PM EST $2,595.00 Enroll
Working with Elasticsearch 7.0 4 Days Oct 3 to Oct 5 10:00 AM to 06:00 PM EST $2,595.00 Enroll
Working with Elasticsearch 7.0 4 Days Dec 5 to Dec 7 10:00 AM to 06:00 PM EST $2,595.00 Enroll

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