Daily Productive Sharing 560 - What Is Data Engineering?

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Benjamin Rogojan details all aspects of data engineering, especially since he previously worked for Facebook and describes a number of best practices there:

1. having a uniform ID for all datasets so it is easy to merge datasets.
2. treating data as a product, so there are iterations, user experience to consider, etc.
3. the importance of data engineers is increasing as each company's datasets get bigger and bigger.

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Benjamin Rogojan 详细介绍了数据工程的方方面面，特别是他之前在 Facebook 供职，介绍了不少那里的最佳实践：

1. 所有数据集都有统一的 ID，这样合并数据集的时候会非常方便；
2. 要把数据当作产品来对待，所以有迭代，要考虑用户体验等等；
3. 随着各家公司的数据集越来越大，数据工程师的重要性也越来越强。

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