Building reliant, scalable, efficient and production-ready data pipelines is vital to many modern businesses today to manage and visualize data effectively and make data-driven business decisions.

What’s more, teams are often required to integrate the data pipeline with a full-fledged GUI application that offers a seamless interaction.

But with increasing data, they are often faced with the challenge of efficient processing and analyzing it in existing data pipelines, resulting in:

• Issues with increasing data
• Increased run-time
• Inefficient use of resources
• Difficulty in scaling,
• Laggy interface, and many more.

Typically, these problems arise due to the lack of an efficient pipeline orchestration tool — one that can manage the execution of functions and pipelines effectively by:

• Optimizing pipeline performance through parallel processing and efficient resource allocation.
• Providing easy management of multiple pipelines and their dependencies
  Ensuring the correct order of the pipeline tasks executions and more.
• To this end, Taipy is an open-source tool that streamlines the creation, management, and execution of reliable data-driven pipelines with low code.

Thus, in this article, I will demonstrate how you can utilize Taipy to create a complex and interactive data pipeline.

Let’s begin 🚀!

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