Booking options
Price on Enquiry
Price on Enquiry
Delivered Online
Two days
All levels
Duration
2 Days
12 CPD hours
This course is intended for
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.
Overview
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
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. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course.
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
Substantial Lab and Case Study
Analyzing Log Data
Log analysis challenges
Using Logstash
The Logstash architecture
Overview of Logstash plugins
Ingest node
Visualizing Data with Kibana
Downloading and installing Kibana
Preparing data
Kibana UI
Timelion
Using plugins
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