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Using Feast Feature Store with Apache Spark for Self-Served Data Sharing and Analysis for Streaming Architectures

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Type

  • Session

フォーマット

  • Virtual

Track

  • データのセキュリティとガバナンス

Difficulty

  • Intermediate

Duration

  • 0 min
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概要

In this presentation we will talk about how we will use available NER based sensitive data detection methods, automated record of activity processing on top of spark and feast for collaborative intelligent analytics & governed data sharing. Information sharing is the key to successful business outcomes but it's complicated by sensitive information both user centric and business centric.



Our presentation is motivated by the need to share key KPIs, outcomes for health screening data collected from various surveys to improve care and assistance. In particular, collaborative information sharing was needed to help with health data management, early detection and prevention of disease KPIs. We will present a framework or an approach we have used for these purposes.

Session Speakers

Sameer Mangalampalli

CoFounder

CoMatrix

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