Elasticsearch 7 and the Elastic Stack - In Depth & Hands On! (Udemy.com)

Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more.

Created by: Sundog Education by Frank Kane

Produced in 2021

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What you will learn

  • Install and configure Elasticsearch 7 on a cluster
  • Create search indices and mappings
  • Search full-text and structured data in several different ways
  • Import data into Elasticsearch using several different techniques
  • Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
  • Aggregate structured data using buckets and metrics
  • Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch
  • Use Filebeats and the Elastic Stack to import streaming data at scale
  • Analyze and visualize data in Elasticsearch using Kibana
  • Manage operations on production Elasticsearch clusters
  • Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud

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Quality Score

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Overall Score : 88 / 100

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Course Description

New for 2021! 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 90 lectures including 8 hours of video.
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.Who this course is for:
  • Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.

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Instructor Details

Sundog Education by Frank Kane

Sundog Education's mission is to make highly valuable career skills in big data, data science, 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 LLC. 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.
Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.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

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Reviews

4.4

50 total reviews

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Very good course! It would be good to include more examples related to Kibana and how to connect Logstash and Filebeat with other applications. Moreover, more examples regarding the utilisation of ES with Python would be useful.

Very good course. some chapters not full in details but that was not the purpose, the student has to explore by itself, they are a very good point of starts.

It delivers a good overview of the possibilities for such a big topic.What I missed / found annoying was that there was no simple zip with all stuff necessary, no links, so basically I had to type a url from the presentation to download a single python file.Also for people who did not do the whole mysql import step, it would have been nice to offer the index files as download to, for importing into elastic and being able to follow the presentation examples better

I am familiar with Unix based systems so this feels like coming home but learning a new set of skills. This was very indepth and had a lot of good tips for setting up the complete system. Thanks very much

The best hands-on introduction to the Elastic Stack I've seen. Well worth the time and effort. Looking forward to taking other courses from this author.

This course is very good for anyone that wants to learn more about what the ELK stack is and what it can do

Following this course was a good experience to learn the foundatation about Elasticsearch with hands-on exercises that brings real knowledge about elastic and how it integrates with other applications and systems. The instructor follows a well organized approach to explain the concepts and particularly I enjoied the pratical exercises. Next, I will use this learnings to apply in a real project on my company. Thanks for the good job.Something that could be nice would be some hilights about how to use APIs (for ex java client) in order to interact with elasticsearch api.

very good training, good english and a lot of hands in on the system !! the only problem for me is that you type too fast !!

It was good, but not enough information on real life projects. Like implementing a fuzzy search/autocomplete search bar on a website, or combining multiple search terms from different sources.

There's alot of great content here. Frank's pace and persona are ideal; his solid understanding of the subject matter, coupled with well explained lessons and real world examples given (verbally) to provide context. I would have liked to see more advanced content re Kibana's visualizations, as well a library of the actual commands for each lesson. Overall, excellent value!

Like the course content and speaker pace. Easy to understand and gives best hands-on to Elasticsearch.

Its a great course, the topics are well explained and now I learnt in and out of Elasticsearch. I had some struggles in setting up the Elasticsearch and downloading the "Complete work of Shakespeare" . Also the clarity of some of the slides are poor and unable to read.