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Course Content
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
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
Advanced CRUD Operation API
- Handling concurrency in Elasticsearch
- Update documents in Elasticsearch
- Bulk Request
Bulk Indexing
Bulk Retrieval
Strategery followed while using Bulk Indexing
Elasticsearch 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
Searching in Elasticsearch
- Understanding search Query DSL
- Aggregations
- Highlighting
Advanced Searching in Elasticsearch
- Sorting and Relevance
- Sorting on Exact Value Fields
- Sorting on Full-text Fields
- Relevance in Documents
Nodes in Elasticsearch
- Master Node
- Data Node
- Ingest Node
- Tribe Node
Exploring ELK Stack
- Logstash
- Kibana
Design Pattern in Elasticsearch
- Index Setting
- Shard Setting
- Shard Allocation
- Routing
- Replication
TODO List in Production
- Planning and Configuration Strategy
- Best setting to have less downtime
- Security in ES cluster
- Improving Indexing and Search Experience
Managing Production System
- Cluster Management
- Node Mangement
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