A naukri.com initiative
Domo
5d
349
Image Credit: Domo
You Built the Pipeline. Now What? What Analysts Really Need from Data Engineers.
- A successful data pipeline process requires more than just technical delivery - it also involves context, clarity, and communication.
- The challenge often lies in ensuring that analysts use, trust, and understand the data pipeline built for them.
- The handoff between data engineers and analysts can lead to breakdowns in communication and adoption of data pipelines.
- Understanding the frameworks behind pipeline management is crucial for making pipelines work for everyone.
- Closing the gap between what is asked for and what is truly needed involves better listening and effective communication.
- Zach Damuth emphasizes the importance of understanding the audience and specific data details to improve data usability for analysts.
- Building influence as a data engineer involves finding quick wins, solving specific problems, and pitching time-saving solutions.
- Influence is crucial for ensuring adoption and trust in data pipelines, leading to impactful and lasting solutions.
- Empathy, clarity, and trust are key elements in building data pipelines that move decisions and have a lasting impact.
- Domo offers solutions for building data pipelines that are not only technically sound but also bring real business value and lasting impact.
Read Full Article
21 Likes
For uninterrupted reading, download the app