The 7 Principles of the
Modern Data Pipeline

Data pipelines are the backbone of business analytics, but they come with huge challenges.


Pipeline maintenance and legacy tech structure are the biggest culprits, with engineers spending 50% or more of their time on data pipelines.


Developing a modern data pipeline is not a simple undertaking. The adoption of no-code/low-code tools is continually on the rise.


Is it better to build or buy a data pipeline? Is it better to custom code or use a no-code SaaS tool?


In this guide, we’ve identified the seven key principles of the modern data pipeline to help you achieve more with less and deliver meaningful business value faster.