Elasticsearch Development E-Learning Training

Bestel deze unieke E-Learning cursus Elasticsearch Development online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages.

ELK is een open-source framework voor analyse dat gebruikmaakt van Elasticsearch NoSQL-mogelijkheden om gegevens op te slaan. ELK gebruikt indexen die kunnen worden opgevraagd met de Lucene Query-taal. Logstash wordt gebruikt voor gegevensopname uit verschillende bronnen en Kibana biedt grafieken en dashboardmogelijkheden. Met ELK kunt u Business Intelligence-toepassingen maken voor het streamen en analyseren van historische gegevens. Dit leertraject behandelt ELK-productiearchitectuur in de cloud en leert leerlingen hoe ze ELK productief kunnen gebruiken, met de nadruk op robuuste analyse- en machine learning-mogelijkheden.

Cursusinhoud

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