Data engineering is a constantly growing and evolving discipline. There are always new tools, systems, and design patterns to learn, which leads to a great deal of confusion for newcomers. Daniel Molnar has dedicated his time to helping data professionals get back to basics through presentations at conferences and meetups, and with his most recent endeavor of building the Pipeline Data Engineering Academy. In this episode he shares advice on how to cut through the noise, which principles are foundational to building a successful career as a data engineer, and his approach to educating the next generation of data practitioners. This was a useful conversation for anyone working with data who has found themselves spending too much time chasing the latest trends and wishes to develop a more focused approach to their work.
Tobias Macey
Posted on • Originally published at dataengineeringpodcast.com
Cutting Through The Noise And Focusing On The Fundamentals Of Data Engineering With The Data Janitor - Episode 151
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Episode 151 of 'Cutting Through The Noise And Focusing On The Fundamentals Of Data Engineering With The Data Janitor' truly dives deep into the essence of data engineering. As a data enthusiast myself, I found the discussion incredibly insightful. The analogy of the 'Data Janitor' resonates perfectly with the often overlooked yet crucial role of cleaning and preparing data for analysis. It's refreshing to see a focus on the fundamentals amidst the noise of complex algorithms and flashy tools. Looking forward to more enlightening episodes like this!