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Uploading Data with the Data Visualizer in Elasticsearch 7.13
The Elastic Stack really excels at continuously streaming data from countless sources into Elasticsearch. But sometimes, you just want to quickly ingest some data to analyze it ad hoc without having to set up a data processing pipeline for it. For this use case, we can use the data visualizer. In this hands-on lab, you will leverage the data visualizer to ingest some flat file data into Elasticsearch to be analyzed.

Lab Info
Table of Contents
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Challenge
Download and Extract the `malicious_urls` Dataset
- Download the malicious_urls.zip archive.
- Extract the malicious_urls.csv file.
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Challenge
Upload the `malicious_urls` Dataset to the Data Visualizer
From the Data Visualizer in Kibana, upload the malicious_urls.csv file.
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Challenge
Configure and Import the `malicious_urls` Dataset
- Import the dataset to the
malicious_urls
index. - The
malicious_urls
index should be configured with1
primary and0
replica shards in order to maintain agreen
cluster state.
- Import the dataset to the
About the author
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
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All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.