Kappa architecture (streaming only) in Hadoop - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main idea behind Kappa architecture?

Kappa architecture processes data only as a stream, avoiding separate batch layers. It treats all data as a continuous flow for real-time processing.

intermediate

How does Kappa architecture handle data reprocessing?

It reprocesses data by replaying the entire stream from the beginning, using the same streaming code, instead of having a separate batch process.

beginner

Which component is central in Kappa architecture for storing data streams?

A durable log system like Apache Kafka stores the data stream, allowing replay and fault tolerance.

intermediate

Why might Kappa architecture be simpler than Lambda architecture?

Because it uses only one processing path (streaming), it avoids maintaining separate batch and streaming code, reducing complexity.

beginner

Name a common streaming processing framework used in Kappa architecture.

Apache Flink, Apache Spark Streaming, or Apache Kafka Streams are popular frameworks for processing streams in Kappa architecture.

What type of data processing does Kappa architecture use?

A Only streaming processing

B Only batch processing

C Both batch and streaming processing

D Neither batch nor streaming processing

Kappa architecture uses only streaming processing to handle data.

How does Kappa architecture reprocess data?

A By running a batch job on stored data

B By replaying the data stream from the start

C By ignoring old data

D By manual data correction

It reprocesses data by replaying the entire data stream from the beginning.

Which system is commonly used to store streams in Kappa architecture?

A Relational database

B Distributed file system

C Durable log like Kafka

D In-memory cache

Durable logs like Kafka store streams reliably for replay and fault tolerance.

What is a key benefit of Kappa architecture over Lambda architecture?

A Simpler code maintenance

B Supports batch processing

C Requires more storage

D Uses multiple processing paths

Kappa architecture simplifies maintenance by using a single streaming code path.

Which framework is NOT typically used in Kappa architecture?

A Apache Flink

B Apache Spark Streaming

C Apache Kafka Streams

D Hadoop MapReduce batch jobs

Hadoop MapReduce is batch processing, not streaming, so it is not typical in Kappa architecture.

Explain how Kappa architecture processes and reprocesses data using streaming.

Think about how data flows and how old data is handled.

Compare Kappa architecture with Lambda architecture focusing on complexity and processing layers.

Focus on the number of processing paths and maintenance.