Snowflake - Build and Architect Data Pipelines Using AWS - Lab – Set Up Kafka in your local system

This video tutorial guides viewers through setting up and using Kafka on a local system. It covers starting Zookeeper and Kafka services, creating and managing Kafka topics, generating fake data using a Python script, and consuming data with Kafka. The tutorial also includes cleanup steps and prepares viewers for the next video, which will focus on creating configuration files for Kafka and Snowflake.

What is the first step in setting up the Kafka environment?

• Creating a new topic

• Starting the Kafka server

• Opening the Kafka bash commands file

• Running a Python script

Which tool can be used to start the Zookeeper?

• Only Visual Code

• Only Terminal

• Both Visual Code and Terminal

• Neither Visual Code nor Terminal

What is the name of the topic created in the Kafka server?

• sample data

• test data

• fake data

• real data

What common error might occur when creating a Kafka topic?

• Failed to create Kafka admin client

• Python script error

• Zookeeper not starting

• Kafka server not responding

Which library is used in the Python script to generate fake data?

• SciPy

• NumPy

• Pandas

• Faker

How often does the Python script write data into the Kafka topic?

• Every 15 seconds

• Every 10 seconds

• Every 5 seconds

• Every 2 seconds

What is the final step after reading data from the Kafka topic?

• Restart the Kafka server

• Run the Python script again

• Create a new topic

• Delete the topic and stop all services