Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating, and enriching your data and storing it in Elasticsearch. Kibana enables you to interactively explore, visualize, and share insights into your data and manage and monitor the stack. Elasticsearch is where the indexing, search, and analysis magic happens.Elasticsearch provides near real-time search and analytics for all types of data. Whether you have structured or unstructured text, numerical data, or geospatial data, Elasticsearch can efficiently store and index it in a way that supports fast searches. You can go far beyond simple data retrieval and aggregate information to discover trends and patterns in your data. And as your data and query volume grows, the distributed nature of Elasticsearch enables your deployment to grow seamlessly right along with it.
Date | Time | Price | Option |
---|---|---|---|
02/24/2025 | 09:00 AM - 05:00 PM CT | $1,995.00 | |
05/05/2025 | 09:00 AM - 05:00 PM CT | $1,995.00 | |
08/04/2025 | 09:00 AM - 05:00 PM CT | $1,995.00 | |
10/14/2025 | 09:00 AM - 05:00 PM CT | $1,995.00 |
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.
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
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:
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.
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.
To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills: