2011, Apache Kafka and Data Scientist

Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

APRIL 19, 2023

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. Apache Flink is a popular framework and engine for processing data streams. Each one can have dozens, hundreds, or even thousands of features.

ML ML Apache Kafka Data Scientist

Data Science Current

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

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