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.
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