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. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you’ll explore:
New features and updates introduced in Elastic Stack 7.0
Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana
Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments
How to install and configure an Elasticsearch architecture
How to solve the full-text search problem with Elasticsearch
Powerful analytics capabilities through aggregations using Elasticsearch
How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis
How to create interactive dashboards for effective storytelling with your data using Kibana
How to secure, monitor and use Elastic Stack’s alerting and reporting capabilities

1
  • 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


2
  • 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


3
  • SEARCHING - WHAT IS RELEVANT

  • The basics of text analysis

    Searching from structured data

    Searching from the full text

    Writing compound queries

    Modeling relationships


4
  • ANALYTICS WITH ELASTICSEARCH

  • The basics of aggregations

    Preparing data for analysis

    Metric aggregations

    Bucket aggregations

    Pipeline aggregations

    Substantial Lab and Case Study


5
  • ANALYZING LOG DATA

  • Log analysis challenges

    Using Logstash

    The Logstash architecture

    Overview of Logstash plugins

    Ingest node


6
  • VISUALIZING DATA WITH KIBANA

  • Downloading and installing Kibana

    Preparing data

    Kibana UI

    Timelion

    Using plugins


Audience

This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals.

Language

English

Prerequisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills: Knowledge of basic data analysis concepts, including how to work with and interpret data sets, is necessary. Familiarity with basic IT and computer concepts, including operating systems and networks, will facilitate understanding of course content. Since Elastic Stack is used for data processing and analysis, understanding how databases function, and basic SQL skills are beneficial. Some basic programming knowledge, particularly in a language such as Python or Java, will help in understanding and implementing certain concepts, although it's not a hard prerequisite. Experience with command-line interfaces (CLI) would be advantageous, as Elastic Stack often involves interactions via CLI. Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su

$1,995

Length: 2.0 days (16 hours)

Level:

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27
Nov
Monday
10:00 AM ET -
6:00 PM ET
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