How to design a data pipeline from scratch

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Designing data pipelines is like planning a rollercoaster ride — early choices determine whether it’s a thrilling adventure or a wild flop.

Interview scenario(Please comment on teh blog if you want me to cover more scenarios) : Design a data pipeline for a hypothetical e-commerce platform called “ShopifyMart.” ShopifyMart is an online marketplace that connects buyers with sellers of various products, including electronics, clothing, home goods, and more. As ShopifyMart developers, we want to implement a data pipeline that provides data for personalized product recommendations to enhance the shopping experience for users.

(Refer to my blog for data pipeline basics and stages.).

Let’s dive into 8 thumb rules to craft your data pipeline masterpiece!

1. Define Clear Objectives: When crafting a data pipeline, it’s crucial to pinpoint the ultimate goal or benefit it will deliver to your company or product. we ask relevant questions such as:

• What are the primary goals we aim to achieve with this data pipeline?
• How do we gauge its…