Elasticsearch fundamentals
Learn how Elasticsearch and the components of
the Elastic Stack work together to solve a myriad
of use cases and real-world problems. Learn
how to install and run Elasticsearch. Understand
how to get data in and out of Elasticsearch.
Learn the basics of queries and aggregations.
Elasticsearch aggregations
Explore aggregations in detail, including the
different types of aggregations, how to perform
metric and bucket aggregations, and details on
how to use some of the more common
aggregations.
Elasticsearch queries
Learn how to write and submit queries, as well
as how the scoring and relevance of matching
documents is calculated. Learn the main
full-text queries available in Elasticsearch and
explore advanced options, such as configuring
fuzziness for dealing with misspelled words.
Learn how to combine different search clauses.
Understand the different components that
compose a search page and how to use them,
like how to highlight matched search terms in a
response, and how to perform sorting and
pagination of search results.
Elasticsearch text analysis and mappings
Understand how Elasticsearch mappings are used to define the way documents and fields are indexed and stored. Learn the difference between text and keyword, and how to customize mappings. Learn how Elasticsearch can be used as a pure key/value data store and how to deal with null values and coercing.
Elasticsearch nodes and shards
Learn why the cluster state is so important, as well as what master-eligible nodes are and how they work. Understand the differences between the different types of nodes and discuss some sample architectures. Understand how Elasticsearch scales and distributes data across a cluster. Learn details about distributed writes and distributed search operations.
Elasticsearch monitoring and troubleshooting Learn how to understand the health of your cluster and diagnose health issues, as well as how to allocate shards and diagnose shard issues. Learn best practices for cluster monitoring. Find out how to dig deeper into performance issues to really understand and resolve them.
