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As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly. Data mesh and data fabric are two modern dataarchitectures that serve to enable better data flow, faster decision-making, and more agile operations.
What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. Here’s a closer look.
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This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing datagovernance).
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Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? Can you describe what role Trino and Iceberg play in Stripe's dataarchitecture?
Self-serve Data Infrastructure: Allows all members of the organization to access and use data easily, removing any technical obstacles. Federated Computational Governance: Applies datagovernance where data is stored, balancing standards with domain-specific needs. Try Striim Cloud for free for 14 days!
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Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it? What are some of the common mistakes that are made when designing a dataarchitecture and how do they lead to failure?
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from China to the UK , new datagovernance and protection rules are coming in on an almost daily basis. On top of that, sector-specific rules — in areas like healthcare and finance — are layering an incremental burden on businesses to make sure their data assets and processes are compliant. .
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