Working with Elasticsearch 7.0 (TTDS6882)

Course 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

If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.

Course Prerequisites

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.

Pre-Requisites

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

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.​

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Course Materials

Setup Made Simple! Learning Experience Platform (LXP) 

All applicable course software, digital courseware files or course notes, labs, data sets and solutions, live coaching support channels and rich extended learning and post training resources are provided for you in our “easy access, no install required” online Learning Experience Platform (LXP), remote lab and content environment. Access periods vary by course. We’ll collaborate with you to ensure your team is set up and ready to go well in advance of the class. Please inquire about set up details and options for your specific course of interest.