Elasticsearch is the search engine of choice for some of the very largest companies in the world. The reason Elasticsearch is loved by so many is due to its searching and indexing capabilities.

In this Short elasticsearch tutorial for beginners, we will learn what elasticsearch is and what are the advantages of indexing data. We will also do some practical examples where we will deploy our own elasticsearch cluster, manually create an index, use a bash command to import large amounts of JSON documents and run our first search (query) within elasticsearch.

👉Free trial of Sematext Infrastructure to monitor your Elasticsearch Cluster: https://sematext.com/spm/

📁Free YAML file for Elasticsearch and Kibana: https://github.com/BruskiCaleb/ES-Kibana-on-Docker

📁Dummy Data from Berlin Buzzwords: https://github.com/sematext/berlin-buzzwords-samples

Additional resources:
📚Complete guide to Elasticsearch: https://sematext.com/guides/elasticsearch/

📚Complete guide to ELK Stack: https://sematext.com/guides/elk-stack/

📚Elasticsearch vs. Solr comparison: https://sematext.com/blog/solr-vs-elasticsearch-differences/

📚https://sematext.com/blog/4-lucene-revolution-talks-from-sematext/

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Chapters:

0:00 ⏩ Intro

1:30 ⏩ Indices in Elasticsearch

3:28 ⏩ Sharding in Elasticsearch

5:07 ⏩ Nodes in Elasticsearch

5:35 ⏩ Monitoring Elasticsearch Clusters

6:23 ⏩ Installing ES on Docker

7:15 ⏩ More on Indexing

7:46 ⏩ Creating an Index and placing shards/replicas in ES

8:47 ⏩ Bash Command to Import Data

10:23 ⏩Verifying Share Placement

10:41 ⏩ Running a Query via Dev Tools

11:09 ⏩ Outro

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