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In this episode of Data Analytics Chat, we look into the evolution of the DBA role into data engineering.
Data is moving at a fast pace, and this insightful topic will explore how DBAs have transformed into data engineers, mastering data integration and analytics to drive data-driven business insights.
Brad Lowenstein, Head of Data Engineering at AWS Finance, a global cloud technology company, joins us.
In this episode, we will learn:
00:00 Introduction to the Evolution of DBA to Data Engineering
00:26 Guest Introduction: Brad Lowenstein
01:09 Brad's Journey into Data Engineering
03:39 The Role of a Traditional DBA
04:39 Technical Advancements Driving the Evolution
09:12 Skills and Competencies: DBA vs Data Engineer
14:52 Challenges in Transitioning from DBA to Data Engineer
20:28 Impact of Cloud Adoption on Data Engineering
24:34 Essential Tools and Platforms for Data Engineers
28:51 Advice for Aspiring Data Engineers
32:15 Future Trends in Data Engineering
37:02 Conclusion and Final Thoughts
Thank you for listening!
By Ben Parker5
22 ratings
Send us a text
In this episode of Data Analytics Chat, we look into the evolution of the DBA role into data engineering.
Data is moving at a fast pace, and this insightful topic will explore how DBAs have transformed into data engineers, mastering data integration and analytics to drive data-driven business insights.
Brad Lowenstein, Head of Data Engineering at AWS Finance, a global cloud technology company, joins us.
In this episode, we will learn:
00:00 Introduction to the Evolution of DBA to Data Engineering
00:26 Guest Introduction: Brad Lowenstein
01:09 Brad's Journey into Data Engineering
03:39 The Role of a Traditional DBA
04:39 Technical Advancements Driving the Evolution
09:12 Skills and Competencies: DBA vs Data Engineer
14:52 Challenges in Transitioning from DBA to Data Engineer
20:28 Impact of Cloud Adoption on Data Engineering
24:34 Essential Tools and Platforms for Data Engineers
28:51 Advice for Aspiring Data Engineers
32:15 Future Trends in Data Engineering
37:02 Conclusion and Final Thoughts
Thank you for listening!

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