Applying DataOps as an Alteryx data engineer

In this chapter, we have examined how Alteryx can achieve a data engineering pipeline. We have looked at different definitions and examples of data engineering and data pipelines. However, the whole time we have been skirting around some underlying principles that underpin the process of our data engineering pipeline.

The DataOps methodology provides the structures and systems for delivering a data pipeline. It allows you to improve the cycle time and quality when producing data sources and analytics. Using the DataOps methodology for developing a data pipeline in Alteryx formalizes the iterative processes that naturally happen during development. DataOps also adds reporting and monitoring structures to ensure high data quality.

Using DataOps with Alteryx fits well as developing a workflow or pipeline in Alteryx involves an iterative process, which links to the improving cycle time. Additionally, implementing the strategies for quality...