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Understanding Akka’s Quarantine State
Originally posted in Scott Livingston’s blog At Credit Karma, my team maintains a service powered by a multi node Akka cluster. Akka is a framework for building distributed, concurrent, and...
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Solving for High Throughput with Akka Streams
When I started at Credit Karma in late 2014, we were introducing Kafka into our data architecture. We were building out what would become the core data infrastructure for the company, which is and was...
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Frequentist Stopping Rules
Stopping rules are what make most frequentist (a.k.a. classical) statistical tests valid. Unsurprisingly, they tell you when to stop an experiment, and equally unsurprising, they are rules that must be...
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Credit Karma Data Explorer
We use big data at Credit Karma for data science modeling and analytical reporting, which helps us assess the efficacy of our products and services. We process and store data in Google BigQuery at...
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