Iguazio Trial Quick-Start

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Get ready to start your free evaluation of the Iguazio Data Science Platform … .


Iguazio trial is a free evaluation of the Iguazio Data Science Platform (“the platform”) from within a cloud environment that doesn’t require any user installations or configurations. When you register to the trial, you receive your own cluster — a dedicated cloud instance of the platform. To register for a free evaluation, click here or select the Try Iguazio for free button on the Iguazio web site.

The trial allows you to test most of the functions and features of the platform, including full access to its APIs and graphical and command-line interfaces. However, note that

  • The trial environment currently uses only a single node and isn’t provisioned for performance, and its capacity is restricted to 900 GB.
  • The free evaluation it typically restricted to 14 days.
  • You should not change the password of your cluster’s predefined system user (typically named “admin”). This is a trial-only restriction for the purpose of simplifying the evaluation process.

For general information about the Iguazio trial offering and the registration process, contact trial@iguazio.com.
For technical questions and assistance, contact Iguazio’s customer-success engineers, who are available to assist and guide you throughout your evaluation.

The trial runs in the cloud. For the rare instances in which the documentation differentiates among the different deployment types, follow the cloud guidelines.

Getting Started

It’s recommended that you start your evaluation by following these steps:

  1. Watch the introductory video (available also on YouTube); note that there might be some differences between your environment and what you see in the video, depending on the version that you are using:

  2. Read the platform introduction — log into your cluster’s dashboard using the URL and login credentials that you received, and create a new Jupyter Notebook service by following the instructions on the welcome pop-up page or in the Platform Fundamentals tutorial. Then, log into your Jupyter Notebook service and read the welcome.ipynb notebook or the README.md Markdown version. You can also find a version of this introduction on the documentation site — see Introducing the Platform.

What’s Next?

Select relevant tutorials and additional documentation from among the links in the platform introduction, depending on your development needs.
You can also find useful links for your specific cluster on the home page of the dashboard, which is available by selecting the product logo at the top of the side navigation menu.
A good place to start is the basic getting-started Jupyter tutorial notebook (getting-started/collect-n-explore.ipynb); the Components, Services, and Development Ecosystem overview; and the getting-started tutorials — such as the Platform Fundamentals, Working with Data Containers, and Ingesting and Consuming Files — which also cover some dashboard functions.