Original subtitles

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Now that you know what Elasticsearch and the Elastic Stack is all about, let's get started

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actually doing something with it.

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The first step in doing so is to install Elasticsearch and Kibana.

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The reason we need Kibana, is that it has a very convenient development tool named Console,

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which lets us easily send queries to Elasticsearch.

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The next handful of lectures are going to cover how to set up both Elasticsearch and

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Kibana on Linux, macOS, and Windows.

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While it's fairly easy, there is actually a shortcut where you don't have to install

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anything at all.

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That's because the company behind Elasticsearch and the Elastic Stack has a cloud solution.

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There is a free trial, which is sufficient for working your way through this course.

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So if you don't want to deal with installation and any issues that may come from it, then

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this is the easiest approach.

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You just have to click a few buttons, and everything is ready and set up for you, so

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you don't need to deal with any configuration files at all.

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If you are just getting started with Elasticsearch, then that's the approach that I recommend.

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When you have gained some experience with Elasticsearch - or if your trial expires - then

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you can always go ahead and install everything on your own machine.

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I have attached a link to the Elastic Cloud trial to this lecture, and I will show you

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how to set everything up in the next lecture.

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The other alternative is to set things up the traditional way, being on your machine.

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As I mentioned a moment ago, I will cover how to do this on both Linux based systems,

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and on Windows.

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Actually there is another approach as well; running Elasticsearch and Kibana within Docker

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containers.

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If you are not familiar with Docker, then you can simply ignore this option.

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I don't officially support that approach in this course, but I have attached a link

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to the documentation if you want to give it a try.

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As you can see, you have a couple of options, so please find the lectures that are relevant

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to the approach that you prefer, and you can skip the ones that cover platforms that are

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not relevant to you.

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Alright, let's get started setting up Elasticsearch and Kibana!