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...
Optimizing Spark in the Cloud - with Jean-Yves Stephan
Building the Backend: Data Solutions that Power Leading Organizations
32 minutes
4 years ago
Optimizing Spark in the Cloud - with Jean-Yves Stephan
This episode features Jean-Yves Stephan Co-Founder & CEO @ Data Mechanics (recently Acq. by Spot by NetApp), during our discussion we talk about optimizing Spark to run in the cloud at a low cost.Top 3 Value Bombs:Running Spark CAN be expensive but there are ways to reduce your current operating costs by 50-75% by smart automations (i.e. tune for node type, memory and CPU). Spot instances can lower your costs by utilizing unused instances. Creating serverless architectures...
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...
