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Friday, November 11 • 4:00pm - 5:00pm
Akka Streams for Large Scale Data Processing

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"With over 50 million members, Credit Karma is the most utilized and trusted personal finance platform in the U.S. To handle tens of millions of Americans’ credit information, we use Akka Streams for high throughput data transfer. We will discuss how we quickly built services using Akka Actors to help us parallelize, parse and send data to our data ingestion service. We then dive into problems we faced and why we chose to move those services to Akka Streams, what we learned, and the tradeoffs along the way. In this panel, Credit Karma shares best practices on how to implement Akka Streams at scale."

Speakers
avatar for Zack Loebel-Begelman

Zack Loebel-Begelman

Senior Software Engineer, Creditkarma
As a senior software engineer on the data and analytics pipeline, Zack’s work allows Credit Karma to provide tailored recommendations for each individual member’s specific financial situation. Zack joined Credit Karma after two years designing and launching data engines to support consumer services and hardware. He has a bachelor’s degree in computer science from the University of California, Davis.
avatar for Dustin Lyons

Dustin Lyons

Engineering Manager, Credit Karma
I work on Big Data supporting over 60M members at Credit Karma.


Friday November 11, 2016 4:00pm - 5:00pm
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Attendees (66)