Tannistha Maiti

Keystone Stream Processing Platform is Netflix’s data backbone and an essential piece of infrastructure that enables engineering data-driven culture.

Today, the Keystone platform offers two production services:

Data Pipeline: streaming enabled Routing Service and Kafka enabled Messaging Service, together is responsible for producing, collecting, processing, aggregating, and moving all microservice events in near real-time.
Stream Processing as a Service (SPaaS): enables users to build & operate custom managed stream processing applications, allowing them to focus on business application logic while platform provides the scale, operations, and domain expertise.

Anatomy of a single streaming job:

Q1 What is the primary difference between supervised and unsupervised learning?

A) Supervised learning requires more computational power than unsupervised learning

B) Supervised learning uses labeled data while unsupervised learning works with unlabeled data

C) Unsupervised learning can only be used for classification tasks

D) Supervised learning doesn't require any training data

Q2. Explain the concept of overfitting in machine learning. Include in your answer:

Your Answer here

Q3. COMPLETE THE CODE

Complete the code to implement

Real-time Stream Processing Platform