Data Loading#

Start strong with the Data Loading module — your essential walkthrough for uploading and managing datasets in ConverSight. This walkthrough will show you how to bring your business data into the platform using data connectors or Jupyter Notebook, setting the stage for analysis across Athena, Storyboards and CS Apps.

Learning Objective

By completing this module, you will learn how to:

  • Upload data files directly through the ConverSight interface

  • Use the AI Workbench and Jupyter Notebook for data loading

  • Validate and preview uploaded data

  • Understand supported file formats and best practices

These skills will ensure your data is accessible, clean, and ready for use across ConverSight’s decision intelligence features.

Topics Covered

The learning path is structured into the following sections:

  • Data Loading Through UI

  • Data Loading Through Notebook

This flow ensures you get hands-on knowledge of both manual and advanced methods of bringing data into the platform.

Data Loading Through UI#

Learn how to bring your data into ConverSight using a simple step-by-step upload process. You’ll explore how to choose your file, give your table a name, review the columns, and complete the upload — all without writing any code.

For a full walkthrough of each step, see our Data Loading Through UI Study Guide.

Data Loading Through Notebook#

Explore how ConverSight allows you to upload data using a built-in notebook experience that blends simplicity with control. You’ll walk through a guided process to open the AI Workbench, set up a Python notebook, and register your data for use across features like Athena and Storyboards. This method offers an alternative to the UI upload, helping users prepare datasets more flexibly while staying within the platform’s workflow.

To further refine your knowledge refer Data Loading Through Notebook Study Guide.