Elasticsearch Development Training
Elasticsearch Development Training
Order this unique E-Learning Training Elasticsearch Development online, 1 year 24/7 access to rich interactive videos, progress through reporting and testing.
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Elasticsearch Development E-Learning
Order this unique E-Learning Elasticsearch Development course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports.
ELK is an open-source framework for analytics which uses Elasticsearch NoSQL capabilities to store data. ELK uses indexes that can be queried using Lucene Query language. Logstash is used for data ingestion from various sources, and Kibana provides charting and dashboard capabilities. Using ELK, you can create Business Intelligence applications for streaming and analyzing historical data. This learning path covers ELK production architecture on cloud and will teach learners how to use ELK productively, focusing on robust analytics and machine learning capabilities.
Course content
Working with the ELK Stack
Course: 24 Minutes
- Course Introduction
- Data Management Methodologies
- ELK Fundamentals
- ELK Capabilities
Understanding ELK Architecture
Course: 19 Minutes
- Elasticsearch Component Configuration
- Elasticsearch Architectural Concepts
Working with Indexes and Shards
Course: 18 Minutes
- Indexes and Sharding
- Elasticsearch in Production
- Elasticsearch Cluster Management
Managing Elasticsearch Availability
Course: 30 Minutes
- Elasticsearch Plugin Management
- Scalability Concept Design
- Elasticsearch Monitoring
- Data Management in Elasticsearch
Practice: ELK Single-node Configuration
Course: 6 Minutes
- Exercise: Configuring Single-node ELK Stack
Data Dimension in Elasticsearch
Course: 13 Minutes
- Course Introduction
- Understanding Data Dimensions and ELK Stack
- Understanding Logstash
Logstash Configuration and Data Ingestion
Course: 31 Minutes
- Managing Logstash
- Ingesting Data Using Logstash from File
- Ingesting Data Using Logstash from Database
- Using Data Input, Filter, and Output Plugins
Mapping and Filtering in Logstash
Course: 20 Minutes
- Understanding Logstash Mapping and Filtering
- Demonstrating Mapping in Logstash
- Demonstrating Data Filtering in Logstash
Logstash Plugins
Course: 16 Minutes
- Monitoring and Fault Detection in Logstash
- Enriching Data Using Grok
- Demonstrating Enrichment of Data Using Grok
Practice: Logstash Data Ingestion
Course: 4 Minutes
- Exercise: Ingesting Data Using Logstash
Advance Indexing in Elasticsearch
Course: 26 Minutes
- Course Introduction
- Indexing in Elasticsearch
- Using Dataset and Index Application
- Understanding Sharding and Scalability
- Using Elasticsearch Scalability Features
Elasticsearch Search Architecture
Course: 16 Minutes
- Managing Search Results
- Implementing Autocomplete Suggestions
- Understanding Elasticsearch's Aggregation Capability
Relations and Language
Course: 28 Minutes
- Working with Aggregation in Elasticsearch
- Managing Relationships in Elasticsearch
- Scripting Language Basics
- Scripting Use Case
- Improving Search Performance
Practice: Elasticsearch Filter
Course: 3 Minutes
- Exercise: Implementing Elasticsearch Filtering
Introduction to Kibana
Course: 21 Minutes
- Course Introduction
- Working with Kibana as a Visualization Layer
- Installing and Configuring Kibana
- Understanding Kibana Dashboard
Kibana Dashboard Capabilities
Course: 24 Minutes
- Using Kibana's Dashboard Capabilities
- Working with Indexes in Kibana
- Prebuilding Kibana Visualization
- Using Kibana Plugin Features
Charting Using Kibana
Course: 13 Minutes
- Building Pie Charts
- Building Bar Charts
- Creating Dashboards in Kibana
Log Analytics Using Kibana
Course: 8 Minutes
- Building Dashboards
- Analyzing Log Data Using ELK
Practice: Log Analysis with Kibana
Course: 4 Minutes
- Exercise: Log Analysis in Kibana and Elasticsearch
Data management Using Kibana
Course: 18 Minutes
- Course Introduction
- Index and Field Management in Kibana
- X-Pack and Reporting
- Kibana Reporting
Data Discovery
Course: 14 Minutes
- Data Discovery in Kibana
- Data Discovery Using the Time Filter
- Field Filtering in Kibana
Machine Learning in Kibana
Course: 18 Minutes
- Machine Learning Concepts
- ELK Machine Learning Capabilities
- Machine Learning Jobs in ELK
Time Series in Kibana
Course: 15 Minutes
- ELK Stack Limitations
- Time Series
- Business Data Management Using ELK
Practice: Time Series Using ELK
Course: 3 Minutes
- Exercise: Building Visualization Using Time Series
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 6:26 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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