Elasticsearch 7 and the Elastic Stack – In Depth & Hands On!

Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more. Includes 10.5 hours of on-demand video and a certificate of completion.

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Lifetime access to all videos and materials for this course with a one-time payment.

Course Information




Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It’s an increasingly popular technology, and a valuable skill to have in today’s job market. This comprehensive course covers it all, from installation to operations, with over 100 lectures including 11 hours of video. We’ve partnered with Coralogix to co-produce the most up-to-date, extensive Elasticsearch course we’ve seen.

We’ll cover setting up search indices on an Elasticsearch 7 cluster (if you need Elasticsearch 5 or 6 – we have other courses on that), and querying 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 7 – including index lifecycle management, the deprecation of types and type mappings, and a hands-on activity with Elasticsearch SQL. We’ve also added much more depth on managing security with the Elastic Stack, and how backpressure works with Beats.

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. We’ll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack’s web UI, Kibana.

You’ll learn how to manage operations on your Elastic Stack, using X-Pack to monitor 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 Elasticsearch 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.

Course Instructor

Frank Kane Frank Kane Author

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Buy This Course


Lifetime access to all videos and materials for this course with a one-time payment.

Installing and Understanding Elasticsearch

Mapping and Indexing Data

Searching with Elasticsearch

Importing Data into your Index – Big or Small


Using Kibana

Analyzing Log Data with the Elastic Stack

Elasticsearch Operations

Elasticsearch in the Cloud

ELK on Kubernetes with Elastic Cloud on Kubernetes (ECK)

You Made It!

5 thoughts on “Elasticsearch 7 and the Elastic Stack – In Depth & Hands On!”

  1. daniel says:

    Thank you for this course. I am interested to know if ElasticSearch also means the new OpenSearch. I know about the name change, but I also know that they forked it. So, will my OpenSerach work exactly through this course?

    The other question I have is related to AWS. Do you through this course using OpenSearch on AWS or are we using OpenSearch through a Docker Container?

    I await your reply.

    Kind regards,

  2. Frank Kane says:

    This course covers Elasticsearch from Elastic.co. AWS forked it into OpenSearch to avoid licensing issues. Right now they are largely the same thing, although OpenSearch has extended it in several ways to integrate more closely with other AWS services and features.

    So, no, this is not using AWS’s forked Elasticsearch. The course actually has you install Elasticsearch from elastic.co on an Ubuntu VM (we don’t assume the student is familiar with Docker so we just install it directly.)

  3. sirangel2010 says:

    Greetings, I would like the course, I would like to be able to link Elasticsearch with a Zimbra server, do you think that this course is the guide to be able to do it? Thanks

    1. Frank Kane says:

      This course will get you familiar with how the Elastic stack works, but we don’t cover integration with Zimbra. The only resource I could find on that is https://github.com/Zimbra/elastic-stack

      1. sirangel2010 says:

        thank you

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