Data Engineering with Alteryx

Chapter 12: Making Data Easy to Use and Discoverable with Alteryx

Building a data pipeline and a dataset provides the foundation for data operations. Getting to the dataset solves the initial request that a data engineer will receive, but it will always leave end users with questions about the dataset you have created. Questions such as What does the field xyz represent? Or, How was this metric calculated? You can also have a situation where, because the dataset is unknown to most users in your organization, you get duplicate requests for the same data, or the dataset gets recreated, often with slight differences. This divergence in datasets leads to different teams reporting different results for the same question. Alteryx Connect was created ...