36 min

EAR Podcast with Alluxio's Steven Mih Designing Enterprise Platforms

    • Technology

On the latest episode of the Designing Enterprise Platform Podcast from Early Adopter Research (EAR), EAR’s Dan Woods spoke with Steven Mih, the CEO of Alluxio, a data orchestration platform that came out of the AMPLab at Berkeley. It is Mih’s second appearance on the podcast; the first episode covered the core value proposition of Alluxio and related issues with respect to the evolution of the data platform and open source. In this episode, Woods and Mih discussed what it’s like for an early adopter trying to create a data platform in the modern environment. Their conversation focused on creating a data layer that allows abstraction in front of many different data sources so that companies can, in an orderly fashion, refactor what’s underneath and move it to where it’s optimally stored and optimally delivered. This is what Alluxio was designed to do.
Their conversation covered:

* 2:00 — Creating a data layer that utilizes object storage
* 7:00 — How Alluxio approaches platforms from a compute optimized way
* 18:00 — How Alluxio helps data engineers
* 21:00 — Alluxio use cases

On the latest episode of the Designing Enterprise Platform Podcast from Early Adopter Research (EAR), EAR’s Dan Woods spoke with Steven Mih, the CEO of Alluxio, a data orchestration platform that came out of the AMPLab at Berkeley. It is Mih’s second appearance on the podcast; the first episode covered the core value proposition of Alluxio and related issues with respect to the evolution of the data platform and open source. In this episode, Woods and Mih discussed what it’s like for an early adopter trying to create a data platform in the modern environment. Their conversation focused on creating a data layer that allows abstraction in front of many different data sources so that companies can, in an orderly fashion, refactor what’s underneath and move it to where it’s optimally stored and optimally delivered. This is what Alluxio was designed to do.
Their conversation covered:

* 2:00 — Creating a data layer that utilizes object storage
* 7:00 — How Alluxio approaches platforms from a compute optimized way
* 18:00 — How Alluxio helps data engineers
* 21:00 — Alluxio use cases

36 min

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