Using the Bulk Data API, you need to pull in some sample data that you'll use for the remainder of this course. This data comes from Elastic and is publicly available as well as can be found in the exercise files of the course.
- [Instructor] Now let's load some sample data here…that we're going to use for the remainder of this course,…and this data does come from Elastic and you can get it…in the exercise files for this course.…I've already downloaded those to my desktop,…so I'm just going to reference them locally,…but if you don't access to the exercise files,…you can search for this on the elastic.co website…and you should be able to find the sample data…there as well.…First we're going to start with the accounts data,…and this is related to bank accounts.…So let me make sure what directory I'm in,…and I'm going to go over to my desktop…where I have everything loaded,…and I have my exercise files there.…
I can see that I have two different folders here,…data and scripts.…Scripts is where all of the code is…that we've been executing,…and under the data folder is where we have our actual data.…So let's jump into that now, and in here,…you can see we have our accounts.json.…We also have a few other files that we'll dig into…a little bit later, but the accounts one…
In this course, join Ben Sullins as he dives into the inner workings of Elasticsearch combined with Kibana. Ben provides an overview of the architecture, and then goes over the different deployment methods, and how to best structure your data. From there, he demonstrates how to query data, and how to work with Kibana to present your insights.
- Reviewing key Elasticsearch concepts
- Running Elasticsearch in the cloud and locally
- Bulk loading data
- Setting up mappings of data types
- Querying data
- Running basic aggregations
- Creating visualizations and dashboards in Kibana