Data engineering is the backbone for informed and precise decisions. It is not just about collecting and storing data; it’s also about transforming it, cleansing it, extracting additional information from it, and making sense of it all.
The data engineering process, if done right with right best practices, can be one of the most profitable and powerful tools in an organization’s arsenal. Data pipelines are built using data engineering processes to transform data and generate meaningful insights that matter.
Get a perspective from this free ebook guide to learn some of the top best practices for data engineering.