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Working with ElasticSearch
Description
Working with ElasticSearch Introduction
Welcome to our “Working with ElasticSearch” training, tailored for data analysts, IT professionals, and software developers eager to leverage the powerful capabilities of Elastic Stack 7.0. Over this immersive two-day course, you’ll master the suite of tools that comprise the Elastic Stack—Elasticsearch, Logstash, Kibana, and Beats—essential for distributed search, real-time analytics, logging, and data visualization.
Designed to equip you with both foundational knowledge and advanced skills, this course will guide you through deploying, managing, and optimizing Elastic Stack in various production scenarios.
During the course, you will engage in hands-on labs and group activities that deepen your understanding of Elasticsearch’s architecture and full-text search capabilities. You’ll learn to create and manage effective data pipelines using Logstash, develop custom plugins, and utilize Kibana for insightful data visualization.
The course also covers vital aspects of security, monitoring, and alerting with Elastic X-Pack, ensuring you are well-prepared to enhance your organization’s data processing and analytics capabilities.
Working with ElasticSearch Course Objectives
By the end of this course, participants will:
- Understand Elastic Stack Components: Master the functionalities of Elasticsearch, Logstash, Kibana, and Beats.
- Develop Data Solutions: Build efficient data pipelines and create custom Kibana plugins for tailored data analysis.
- Enhance Data Security and Monitoring: Implement Elastic X-Pack to secure and monitor data effectively.
- Deploy in Production Environments: Learn the best practices for deploying and managing Elastic Stack in real-world settings.
- Utilize Advanced Analytics: Employ Elasticsearch aggregations and Kibana dashboards to derive powerful insights from data.
Prerequisites
To make the most of this course, you should have:
- Basic data analysis knowledge
- Familiarity with IT and computer concepts
- Understanding of databases and basic SQL skills (beneficial)
- Basic programming knowledge (Python or Java)
- Command-line interface (CLI) experience (advantageous)
- Basic Linux skills
Audience
- Data analysts
- IT professionals
- Software developers
- System administrators
- Data engineers
- Anyone looking to tackle complex data challenges in real-time environments across various industries.
Working with ElasticSearch Outline
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
$1895.00
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2 Days Course |