Building the Backend: Data Solutions that Power Leading Organizations
Travis Lawrence
43 episodes
9 months ago
In this episode we speak with Justin Borgman, Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently valued at $3.35 billion after securing their series D funding. In this episode we discuss convergence of DWâs / DL's, why data lakes fail and much much more. Top 3 takeawaysThe data mesh architecture is gaining adoption more quickly in Europe due to GDPR.There were two main limitations of data lakes when comparing to DWâs, perf...
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In this episode we speak with Justin Borgman, Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently valued at $3.35 billion after securing their series D funding. In this episode we discuss convergence of DWâs / DL's, why data lakes fail and much much more. Top 3 takeawaysThe data mesh architecture is gaining adoption more quickly in Europe due to GDPR.There were two main limitations of data lakes when comparing to DWâs, perf...
Applying Transformations to Streaming Data with Materialize
Building the Backend: Data Solutions that Power Leading Organizations
32 minutes
4 years ago
Applying Transformations to Streaming Data with Materialize
This episode features Arjun Narayan Co-Founder & CEO @ Materialize, during our discussion we talk all about transforming streaming data, the doâs the donâts and how Materialize is changing the landscape of streaming. Top 3 Value Bombs:When creating schema changes organizations should always strive to create forward compatible schema changes only. This means consumers will be able to consume your data model without impacting them, they just may be missing your newly added column.M...
Building the Backend: Data Solutions that Power Leading Organizations
In this episode we speak with Justin Borgman, Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently valued at $3.35 billion after securing their series D funding. In this episode we discuss convergence of DWâs / DL's, why data lakes fail and much much more. Top 3 takeawaysThe data mesh architecture is gaining adoption more quickly in Europe due to GDPR.There were two main limitations of data lakes when comparing to DWâs, perf...
