Multisoft Systems is offering ELK Stack Certification Training for accelerating ... fundamentals and methods of using the Elastic Search, Logstash, and Kibana.

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ELK Stack with Kibana
Course Content
www.multisoftsystems.com B-125, Sector 2 Noida

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ELK Stack with Kibana
Course Content
1. Introduction
 What is Elasticsearch?
 Terminology in Elasticsearch (Elasticsearch cluster, shards, and replicas)
 Difference between Search Engine and Database
 Installation of Elasticsearch.
 The architecture of Elasticsearch
2. Elasticsearch CRUD API
 Anatomy of a document
 Create a document in Elasticsearch
 Getting a document from Elasticsearch
 Check if a document Exists
 Deleting documents in Elasticsearch
 Update documents in Elasticsearch

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3. Advanced CRUD API
 Handling concurrency in Elasticsearch
 Connecting the Elasticsearch through Driver
 Bulk Request
 Bulk Indexing
 Bulk Retrieval
 Strategery followed while using Bulk Indexing
4. Mapping
 In-depth analysis of mappings
 What happens during Indexing?
 Discussion of transaction logs and Lucene indexing
 Understanding configuration options, Mappings
 Dynamic Mapping in Elasticsearch
5. Searching in Elasticsearch
 Understanding search Query DSL
 Aggregations
 Search and Relevance in Documents
 Scoring Mechanism
 Special Query

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6. Building Components of Elasticsearch
 Master Node
 Data Node
 Ingest Node
 Tribe Node
7. Exploring the ELK Stack
 Logstash
 Beat
 Kibana
 Discover
 Creating an Index Pattern
 Searching Data
 Using filter
 Data statistics
 Visualize
 Types of Visualization
 Aggregation
 Dashboard tools
 Heat Map

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 Dashboard
 Creating/Sharing different types of Dashboard
 Canvas
 Creating a WorkPad
 Canvas Lifecycle
 Maps
 Discuss all Layers
 Plot Big Data
 searching geographic data
 configure Map settings
 Logs & Uptime
 Log Analysis
 Troubleshooting
 APM, SIEM & Machine Learning
 Setting up the APM
 REST API
 Anomaly Detection with ML
 Anomaly detection
 Data frame detection

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 Dev Tools
 DSL Query using all filters and Aggregations
 Indexing & Re-Indexing
 Template Creation
 Indexing the data
 Performing CURD Operation
 Learning all API related Queries
 Reporting
 Report Configuration
 Report Integration
 Automating Report Generation
 Logstash
 Performance Tuning
 Monitoring Logstash with API
 Discussing all plugins
 Transforming Data

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8. Configuration Management
 Index Setting
 Shard Setting
 Shard Allocation
 Routing
 Replication
9. Production Settings
 Planning and Configuration Strategy.
 Best setting to have less downtime
 Security in ES cluster
 Improving Indexing and Search Experience
10. Cluster and Node Maintenance
 Cluster Management
 Node Management