Скачать или смотреть Elasticsearch Tutorial | Interview Elasticsearch | ELK Stack | ISHU Shahin(Nonu Mom),Child Education

This Education video on Elasticsearch Tutorial will help you in understanding the fundamentals of Elasticsearch along with its Interview usage and help you in building a strong foundation in ELK Stack.
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This video helps you to learn following topics:
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1.What are the advantages of ElasticSearch?
2.What is ElasticSearch used for?
3.How does ElasticSearch work?
4.Can you please list out different ElasticSearch data types for the document fields?
5.How do you stop the ElasticSearch search service from running on a Linux server?
6.What is ElasticSearch Mapping?
7.What is ElasticSearch fuzzy search?
8.What is cluster in ElasticSearch?
9.Explain a node in Elastic Search.
10.Explain what is a document in ElasticSearch.
11.Which operations can you perform on a document?
12.What is an index in ElasticSearch?
13.Define the terms Shard and Replica in ElasticSearch.
14.What is the process of deleting an index in Elasticsearch?
15.How to add a mapping to an index?
16.What do you mean by the term ‘type’ in ElasticSearch?
17.What do you mean by NRT (Near Real-Time Search) in ElasticSearch?
ElasticSearch Interview Questions for Experienced
18.Explain Tokenizer in ElasticSearch.
19.What is an Analyzer ElasticSearch?
20.What is an Inverted index in ElasticSearch?
21.Describe the functionality of the cat API in ElasticSearch.
22.What are the different ElasticSearch commands available in the cat API?
23.Explain ELK stack and its architecture.
24.What configuration management tools does Elasticsearch support?
25.Is it necessary to install X-Pack for Elasticsearch? What are some essential X-pack commands?
26.What do you mean by aggregation in ElasticSearch?
27.Does ElasticSearch have a schema?28.How can we perform a search in Elasticsearch?29.Explain Query DSL in ElasticSearch.
30.What types of queries does ElasticSearch support?
Elasticsearch Architectural Overview
Where Elasticsearch Shines
Filters
Filters are much faster than queries because there’s no ambiguity around scoring. There’s a binary yes/no decision on whether a particular document has the term.
Clusters and Nodes
Clusters are a collection of nodes that communicate with each other to read and write to an index. A cluster needs a unique name to prevent unnecessary nodes from joining.
Shards and Indices
Shards are individual instances of a Lucene index. Lucene is the underlying technology that Elasticsearch uses for extremely fast data retrieval. Elasticsearch is an abstraction that lets users leverage the power of a Lucene index in a distributed system.
JSON REST API
Search request from start to finish
Now that you know about clusters, nodes, indices, shards, and documents, let’s go over what happens when you make a search request to Elasticsearch.