English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 47m | 1.08 GB
Learn to make distributed search analytics, and visualize data using the ELK stack
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and the visualization of data from medium to massive datasets. The newly released Elastic Stack 6 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This course will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data-processing applications. After a quick overview of the newly introduced features in Elastic Stack 6, you’ll learn how to set up the stack by installing the tools, and explore their basic configurations. Then we demonstrates the creation of custom plugins using Kibana. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. After completing this course, you’ll have a solid foundational knowledge of basic Elastic Stack functionalities. You’ll also have a good understanding of the role each component in the stack plays to solve different data processing problems.
This step-by-step guide will show you the Elastic Stack, covering all the components through interactive and easy-to-follow examples. It also includes handy tips.
What You Will Learn
- Familiarize yourself with the different components of the Elastic Stack
- Get to know the new functionalities introduced in Elastic Stack 6.
- Effectively build your data pipeline to get terabytes or petabytes of data into ElasticSearch and Logstash for searching and logging.
- Use Kibana to visualize data and tell data stories in real-time
- Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack.
- Take your Elastic application to an on-premise or cloud-based production
The Course Overview
What is Elasticsearch, and Why Use It?
Exploring the Components of Elastic Stack
Downloading and Installing
Using the Kibana Console UI
Mappings and Data Types
Creating Indexes and Taking Control of Mapping
REST API Overview
Architecture and Overview of Logstash Plugins
Exploring Input Plugins
The Basics of Aggregations
Bucketing on String and Numeric Data
Bucketing on Date/Time Data
Bucketing on Geo-Spatial Data
Parsing and Enriching Logs Using Logstash
Getting Started with Kibana
Visualizations in Action
Timelion and Plugins
Modeling data in Elasticsearch
Building the Logstash Data Pipeline
Visualizing the Data in Kibana