Apache Kafka - Real-time Stream Processing (Master Class) - Section Summary - recap

What was Google's contribution to the big data solutions space?

• Invention of the internet

• Introduction of real-time stream processing

• Creation of Hadoop and other open-source tools

• Development of Apache Kafka

Why is there a growing need for handling time-sensitive data?

• To enhance data security

• To foster new innovations in real-time stream processing

• To improve data visualization

• To reduce storage costs

How should data be viewed in the context of stream processing?

• As a continuous stream of events

• As archived logs

• As static records

• As isolated incidents

What is one of the main challenges in implementing streaming pipelines?

• Complexity in handling continuous data streams

• Lack of data

• High computational costs

• Limited storage capacity

Which tool was chosen as the backbone for streaming infrastructure?

• Apache Flink

• Apache Kafka

• Apache Storm

• Apache Spark