Summary

In this chapter, you learned to transform your dataset by applying two magical steps: Row Normalizer and Row denormalizer. These two steps aren't the kind of steps you use every day such as a Filter Rows or a Select values step. But when you need to do the kind of task they achieve, you are really grateful that these steps exist. They do a complex task in a quite simple way. You also learned what a time dimension is and how to create a dataset for a time dimension.

So far, you've been learning to transform data. In the next chapter, you will set that kind of learning aside for a while. The chapter will be devoted to an essential subject when it comes to working in productive environments and dealing with real data—data validation and error ...

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