Kafka integration with Hadoop - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Apache Kafka in simple terms?

Apache Kafka is like a post office for data. It collects, stores, and sends messages (data) quickly between different systems.

beginner

Why do we integrate Kafka with Hadoop?

We connect Kafka with Hadoop to move real-time data into Hadoop's storage and processing system for big data analysis.

intermediate

What is Kafka Connect and how does it help with Hadoop?

Kafka Connect is a tool that helps move data between Kafka and other systems like Hadoop automatically, without writing code.

beginner

Name one common Hadoop component used to store data from Kafka.

HDFS (Hadoop Distributed File System) is commonly used to store data coming from Kafka for big data processing.

intermediate

What is the role of Apache Flume in Kafka and Hadoop integration?

Apache Flume can collect data from Kafka and send it to Hadoop storage, acting like a data pipeline.

What does Kafka primarily do in a data system?

A Store data permanently like a database

B Send and receive messages in real-time

C Visualize data with charts

D Run machine learning models

Kafka is designed to send and receive messages quickly between systems.

Which Hadoop component is commonly used to store data from Kafka?

A HDFS

B YARN

C MapReduce

D Hive

HDFS is the storage system in Hadoop where data from Kafka is often saved.

What is Kafka Connect used for?

A To visualize Kafka data

B To write data analysis code

C To manage Hadoop clusters

D To connect Kafka with other systems automatically

Kafka Connect automates data movement between Kafka and other systems like Hadoop.

Which tool can act as a pipeline between Kafka and Hadoop?

A Apache Pig

B Apache Spark

C Apache Flume

D Apache Hive

Apache Flume collects data from Kafka and sends it to Hadoop storage.

Why is real-time data integration important in Kafka and Hadoop?

A To analyze fresh data quickly

B To store data for years

C To create static reports

D To backup data manually

Real-time integration helps analyze new data as it arrives, making insights timely.

Explain how Kafka and Hadoop work together to handle big data.

Think about data flow from collection to storage and analysis.

Describe the role of Kafka Connect in moving data between Kafka and Hadoop.

Focus on automation and connectors.