Elasticsearch Fundamentals Course
Get Started with Elasticsearch
Our Elasticsearch training classes have a 4.67/5 rating based on 15 reviews
- 2 hours online training
- A digital copy of the training material
- Docker Compose files, configs, scripts, etc.
- Certificate of Completion
Next Class: Sept 16 See Upcoming Classes
Full day classes available upon request
Looking for a more general and extended knowledge-based Elasticsearch training?
Who should attend?
This Elasticsearch online course is designed for anyone who:
- Wants to quickly understand Elasticsearch basics and how it works
- Is getting started with setting up Elasticsearch for either search or log aggregation
What attendees say
Sematext was an ideal training partner for Parse.ly. We had just recently adopted Elasticsearch on a new project, and they gave us two days of solid training that was tailored to our team’s needs. The material was built atop strong foundations and moved quickly into advanced areas around querying, Lucene internals, and cluster performance. It was clear that it was all informed by real-world experience operating these systems at scale.
Basic flow of data in Elasticsearch
- What is Elasticsearch, strengths and weaknesses and typical use-cases.
- How to install Elasticsearch and what are the main configuration files
- Indexing a document: what is an index, type and ID
- Field types in your mapping: text, keyword, numeric and geo
- What is the difference between stored and indexed fields. What is _source?
- How text analysis influences what matches and what doesn’t
- Getting a document by ID. Why is it so expensive?
- Anatomy of a search
- Adding aggregations to a search
- Doc values and why you need to store the same data a third time (in addition to indexed fields and _source)
- How updates work and why you should avoid them if possible
- Why deletes are soft and when data is really expunged
- CRUD operations
- Running a full-text search
- Running aggregations on query results
Working with an Elasticsearch cluster
- What are primary and replica shards. How failover works
- How searches are distributed to multiple shards (of one or multiple indices)
- Configuring unicast to tell nodes how to join a cluster
- Using Cat APIs to get the current state of the cluster
- Creating indices with different numbers of shards
- Checking the health of the overall cluster and specific indices
- Adding new nodes to the cluster
- What is Elasticsearch?
- Elasticsearch Basic Concepts
- Elasticsearch Strengths and Weaknesses
- Elasticsearch Installation
- Elasticsearch CRUD operations
- How to Run Searches and Aggregations
- Field Types in the Mapping
- Text Analysis
- Clustering, Failover, Distributed Search