<aside> 🍎 General, Elegant, Efficient —— Designed and Developed by Apple (Foster Guo)

Basically, it’s a framework designed to assist content teams in retrieving data independently, without relying on data analysts or engineers.

It’s an end-to-end solution for content teams seeking to analyze data daily, or even hourly, by leveraging their strong business knowledge and applying complex strategies—all without needing any technical expertise.

This article is mainly about two problems for that purpose:

1. Flexibility: How to make this platform as flexible as possible that users could leverage their imagination and business knowledge.
2. Performance: How to make this platform as efficient as possible that users could get the results and iterate their strategies quickly.

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Train of thought

<aside> 📌 Apple said, let there be a platform implements strategy recall, and there was strategy recall platform.

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Origin

Background

Content platforms like TikTok, Twitter, and Facebook often encounter several challenges:

• Keyword Search: How can you efficiently find specific comments under a particular post using keywords?
• User-specific Comments: How can you locate comments made by a specific user under a specific post?
• Complex Data Retrieval: How can you retrieve data using complex strategies without relying on data analysts?

These issues are common for content operations and content safety teams on a daily basis.

So, What’s the Solution?

The solution is straightforward:

Freeloader: Request the required data from data engineers by specifying your needs. Provide a SQL query to retrieve the data for you.

No no no no no, no way, I don’t want to become a SQL machine. I want automatic solutions where you retrieve the data by yourself. If you’re not familiar with SQL, don’t worry. Let’s design it together.

So the practical solutions are:

1. Abstract Features: Abstract features related to different entities.