Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project. In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices.
PostHog is an open source, product analytics platform. PostHog enables software teams to understand user behavior – auto-capturing events, performing product analytics and dashboarding, enabling video replays, and rolling out new features behind feature flags, all based on their single open source platform. The product’s open source approach enables companies to self-host, removing the need to send data externally. Try it out today at dataengineeringpodcast.com/posthog
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The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform. Founded by the leaders that created projects like LinkedIn DataHub and Airbnb Dataportal, Acryl Data enables delightful search and discovery, data observability, and federated governance across data ecosystems. Signup for the SaaS product today at dataengineeringpodcast.com/acryl
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- The most important piece of any data project is the data itself, which is why it is critical that your data source is high quality. PostHog is your all-in-one product analytics suite including product analysis, user funnels, feature flags, experimentation, and it’s open source so you can host it yourself or let them do it for you! You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms. Give it a try today with their generous free tier at dataengineeringpodcast.com/posthog
- Your host is Tobias Macey and today I’m interviewing Balaji Ganesan about his work at Privacera and his view on the state of data governance, access control, and security in the cloud
- How did you get involved in the area of data management?
- Can you describe what Privacera is and the story behind it?
- What is your working definition of "data governance" and how does that influence your product focus and priorities?
- What are some of the lessons that you learned from your work on Apache Ranger that helped with your efforts at Privacera?
- How would you characterize your position in the market for data governance/data security tools?
- What are the unique constraints and challenges that come into play when managing data in cloud platforms?
- Can you explain how the Privacera platform is architected?
- How have the design and goals of the system changed or evolved since you started working on it?
- What is the workflow for an operator integrating Privacera into a data platform?
- How do you provide feedback to users about the level of coverage for discovered data assets?
- How does Privacera fit into the workflow of the different personas working with data?
- What are some of the security and privacy controls that Privacera introduces?
- How do you mitigate the potential for anyone to bypass Privacera’s controls by interacting directly with the underlying systems?
- What are the most interesting, innovative, or unexpected ways that you have seen Privacera used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Privacera?
- When is Privacera the wrong choice?
- What do you have planned for the future of Privacera?
- 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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