Author: Hon Lam, Engineer, Jungle Scout

When working with SQL, sometimes you can solve a problem by simply retrieving raw data like this:

In other cases, you may need to write complex queries — queries that may involve some intermediate understanding of JOINs and/or incorporated subqueries like this:

But how would you know that a problem requires a complex query? If you do need to write one, what is a systematic approach for planning and writing the query?

That’s the purpose of this guide: to suggest some standard steps for solving these problems. …

Author: Eduardo Ohe, Principal Machine Learning Engineer, Jungle Scout

Special thanks to Lais Carvalho (developer advocate at QuantumBlack) for her collaboration in this article.

This case study describes how the data science team at Jungle Scout, the leading all-in-one platform for finding, launching, and selling products on Amazon, use Kedro to deploy our Machine Learning models into production.

About Jungle Scout and Kedro use

Jungle Scout helps sellers on Amazon start and scale their businesses. Currently, we employ more than 150 employees — 50 are engineers.

The data science team is composed of Kedro users. As the company expands, new…

Jungle Scout Engineering

We are Jungle Scout. Our mission is to provide powerful data and resources to help entrepreneurs and brands grow successful businesses on Amazon

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