Data analysis is important for most of the businesses, particularly for those who are heavily relying on information technology. However, analyzing data and finding insights out of it is not easy, and this often requires some hard-core techniques and professional skills. Today, I'm going to introduce you about a very simple yet useful framework for data analysis. It's not about technical terms and some software tools, but rather a mindset or practical methodologies. With this basic data analysis framework, you can perform some preliminary analysis on raw data, and get a basic understanding of the datasets' profile. 

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A good data analyst should have a wide range of skills and knowledge. Today's episode will introduce three main categories of those skills.

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On today's show, I am going to talk about the reasons of doing architecture in software engineering, what architecture is and how to do it.

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