Data integration in the form of extract and load is the critical first step of every data project. There are a large number of commercial and open source projects that offer that capability but it is still far from being a solved problem. One of the most promising community efforts is that of the Singer ecosystem, but it has been plagued by inconsistent quality and design of plugins. In this episode the members of the Meltano project share the work they are doing to improve the discovery, quality, and capabilities of Singer taps and targets. They explain their work on the Meltano Hub and the Singer SDK and their long term goals for the Singer community.
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- Your host is Tobias Macey and today I’m interviewing Douwe Maan, Taylor Murphy, and AJ Steers about their work to level up the Singer ecosystem through projects like Meltano Hub and the Singer SDK
- How did you get involved in the area of data management?
- Can you start by describing what the Singer ecosystem is?
- What are the current weak points/challenges in the ecosystem?
- What is the current role of the Meltano project/community within the ecosystem?
- What are the projects and activities related to Singer that you are focused on?
- What are the main goals of the Meltano Hub?
- What criteria are you using to determine which projects to include in the hub?
- Why is the number of targets so small?
- What additional functionality do you have planned for the hub?
- What functionality does the SDK provide?
- How does the presence of the SDK make it easier to write taps/targets?
- What do you believe the long-term impacts of the SDK on the overall availability and quality of plugins will be?
- Now that you have spun out your own business and raised funding, how does that influence the priorities and focus of your work?
- How do you hope to productize what you have built at Meltano?
- What are the most interesting, innovative, or unexpected ways that you have seen Meltano and Singer plugins used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working with the Singer community and the Meltano project?
- When is Singer/Meltano the wrong choice?
- What do you have planned for the future of Meltano, Meltano Hub, and the Singer SDK?
- 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 show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.
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- Meltano Hub
- Singer SDK
- Concert Genetics
- Microsoft SQL Server
- AWS Athena
- Reverse ETL
- REST (REpresentational State Transfer)
- Meltano Interpretation of Singer Specification
- Vision for the Future of Meltano blog post
- Coalesce Conference
- Running Your Data Team Like A Product Team