Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more.
NOTE: A NEW VERSION OF THIS COURSE FOR ELASTICSEARCH 7 IS AVAILABLE. You should only enroll in this if you need to learn Elasticsearch 6 specifically. If that's you, read on!
Elasticsearch 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 60 lectures including 8 hours of video.
We'll cover setting up search indices on an Elasticsearch 6 cluster (if you need Elasticsearch 5 - we have another course 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 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.
Install and configure Elasticsearch 6 on a cluster
Create search indices and mappings
Search full-text and structured data in several different ways
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Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software...
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. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 17 issued patents in the...
Well, I don't know about the 'in depth' part. To be honest, I think it is a good course on the basics. But I have to dig further and look at other resources to really study the 'in-depth' topics.
What a command he is having on the subject and a very practical course. I clearly understand whatever he is conveying.
Poor explanation and his working via curl looks really ugly. There is a lot of repeatable typing and it's annoying too.
Definitely Elasticsearch 7 course made by Frank is better. This course is good in general, there is one problem however. Everything is clear when you listen to the course, but when you stop there are few things you remember.
This is a good course with several examples for hands on practice on a popular data set.
In practice, I am going to need to learn how to operate on xml data. I will need to find examples for practicing on such data.
The course met my expectations in that it took you through all the elements of Elasticsearch and its associated components and I feel a little bit more comfortable with the subject matter, but far from knowledgeable on the subject. I expected a little bit more depth to the course, I would have liked to see to more in depth topics on mapping data and visualising data using Kibana. Due to the rapid version increments some aspects of the course wasn't functional with the version 6.8.5 that I used to complete this course, but most issue had been addressed in the Q&A. Also a little bit annoyed to have spent much of my time writing CURL queries when this is much easier accomplished using the Kibana Dev tools which was only introduced two thirds through the course.
A pleasure to follow this course. Frank is a real professionnal. Voice is very nice to listen, course is very well built. All is clear. Thanks !
Very basic, does not prepare you well for the Elastic Certified Engineer exam. Should not be called in-depth.
Course was great and it is crystal clear that the lecturer knows what he's doing... roughly half way in, it becomes increasingly difficult to follow the steps and I found myself spending more time looking for fixes than following the class material!
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Lester T.
This was a great course for those trying to figure out what elasticsearch is and how to use it!