Product Updates

A New Design and Ready-to-Use Jupyter Examples for GlassFlow

A fresh new design for the GlassFlow WebApp and Jupyter Notebook examples.

Written by Ashish Bagri25/10/2024, 07.51
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We’re thrilled to introduce a fresh new design for the GlassFlow WebApp, crafted to make creating event-driven data pipelines easier and more intuitive than ever. This updated interface streamlines the process, guiding you through pipeline setup with a clean, simplified layout so you can focus on building. Plus, to help you hit the ground running, we’ve added a set of Jupyter Notebook examples showcasing various real-world use cases with the GlassFlow SDK.

The redesigned GlassFlow WebApp

Our latest GlassFlow WebApp update brings a streamlined interface to help users build event-driven pipelines with ease. With intuitive options for selecting data sources and sinks, developers can now configure their data flows with minimal setup.

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The environment variables panel allows you to define custom parameters without touching code, and the library import feature lets you add external libraries for specialized transformations right within your workspace.

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Jupyter notebook examples

To help you get started, we’ve added a suite of Jupyter notebook examples demonstrating essential use cases with the GlassFlow SDK, enabling a hands-on learning experience from day one.

The examples here should be familiar to you as a data engineer and will show you how GlassFlow works and how you can interact with it.

This update is all about simplifying real-time data integration, empowering developers to set up pipelines faster, and enabling powerful, low-code transformations across your event-driven workflows.

A New Design and Ready-to-Use Jupyter Examples for GlassFlow

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