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Data Teams: A Unified Management Model for Successful Data-Focused Teams
In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.
Top 3 Value Bombs:
- It’s not easy to retool your traditional DW team to support big data technologies
- A general ratio you should have is, 2-5 data engineers for every 1 data scientist
- The importance of having three data teams and having them staffed properly which include operations, data engineers, and data scientists
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By Travis Lawrence
4.7
1313 ratings
In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.
Top 3 Value Bombs:
- It’s not easy to retool your traditional DW team to support big data technologies
- A general ratio you should have is, 2-5 data engineers for every 1 data scientist
- The importance of having three data teams and having them staffed properly which include operations, data engineers, and data scientists
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