Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. In this episode he explains the design of the platform and how it builds on agile development principles to help you focus on delivering value.
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Your host is Tobias Macey and today I’m interviewing Shane Gibson about AgileData, a platform that lets you build data products without all of the overhead of managing a data team
- How did you get involved in the area of data management?
- Can you describe what AgileData is and the story behind it?
- Who is the target audience for this product?
- For organizations that have an existing data team, how does the platform augment/simplify their work?
- Can you describe how the AgileData platform is implemented?
- What are some of the notable evolutions that it has gone through since you first started working on it?
- Given your strong focus on Agile methods in your work, how has that influenced your priorities in developing the platform?
- What are the most interesting, innovative, or unexpected ways that you have seen AgileData used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on AgileData?
- When is AgileData the wrong choice?
- What do you have planned for the future of AgileData?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- Thank you for listening! Don’t forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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