Description
For 40 years, databases have been split into two worlds — transactional and analytical — and the brittle pipelines shuttling data between them are why data engineers get paged at 3am.
In this clip, Databricks co-founder and Chief Architect Reynold Xin (co-creator of Apache Spark) explains why he jokes that CDC doesn't stand for "change data capture" but "continuous data corruption," and how Databricks' new LTAP approach makes every transactional table show up in the lakehouse in Iceberg format — always fresh, with no pipeline to build.
🎧 Watch the full episode of DataFramed: https://www.youtube.com/watch?v=US6Z_buKizk
Connect with Reynold Xin on LinkedIn: https://www.linkedin.com/in/rxin/
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