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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.

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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Published
Clock icon Jan 28, 2022

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Table of Contents

  1. Challenge

    Download and Extract the `malicious_urls` Dataset

    1. Download the malicious_urls.zip archive.
    2. Extract the malicious_urls.csv file.
  2. Challenge

    Upload the `malicious_urls` Dataset to the Data Visualizer

    From the Data Visualizer in Kibana, upload the malicious_urls.csv file.

  3. Challenge

    Configure and Import the `malicious_urls` Dataset

    1. Import the dataset to the malicious_urls index.
    2. The malicious_urls index should be configured with 1 primary and 0 replica shards in order to maintain a green cluster state.

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What's a lab?

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.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.