Elasticsearch 8 and the Elastic Stack: In Depth and Hands On

Elasticsearch
and  the
Elastic Stack
are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems, and be the most valuable engineer you can be.
Elasticsearch 8
is a powerful tool for analyzing big data sets in a matter of milliseconds! It’s increasingly popular technology for powering search and analytics on big websites, and a valuable skill to have in today's job market. This course covers it all, from installation to operations. Learn how to use Elasticsearch 8 and implement it in your work within the next few days.
We've teamed up with
Coralogix
to co-produce the most comprehensive Elastic Stack course we've seen— with
over

100 lectures
including
15 hours
of video.
We'll show you how to set up search indices on an
Elasticsearch 8
cluster (if you need Elasticsearch 6 or 7 - we have other courses on that), and query that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where
you'll practice each skill
using a virtual machine running Elasticsearch on your own PC.
We'll explore
what's new in Elasticsearch 8
and illustrate all the new syntax requirements of Elasticsearch commands, now that things deprecated through the Elasticsearch 7 have been removed. Almost every hands-on activity has been re-recorded to ensure compatibility with Elasticsearch 8.
We cover, in depth, the often-overlooked problem of
importing data
into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using
Logstash
and
Filebeat
- commonly referred to as the "
ELK Stack
" (Elasticsearch / Logstash / Kibana) or the "
Elastic Stack
".
Elasticsearch
isn't just for search anymore
- it has powerful
aggregation
capabilities for structured data, which allows you to glean new insights from your indexed data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI,
Kibana
and
Kibana Lens
.
You'll learn how to manage
operations
on your Elastic Stack, monitoring your cluster's health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud using
Amazon Opensearch Service
and the
Elastic Cloud
.
Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements.  It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about.
Who this course is for:
Any technologist tasked with fast, scalable searching and analysis of big data sets.