PySpark and AWS: Master Big Data with PySpark and AWS - Introduction to Project

The video introduces a project focused on implementing Change Data Capture (CDC) to replicate database changes into HDFS storage. It explains the concept of CDC, which involves capturing changes like insertions, deletions, and updates from a database in RDS and storing them in HDFS. The video outlines the development of a pipeline to manage these changes and provides an overview of the project implementation. The next video will delve into creating the architecture from scratch.

What is the primary goal of the project discussed in the video?

• To create a new database system

• To develop a mobile application

• To implement Change Data Capture (CDC)

• To design a new user interface

Which of the following best describes Change Data Capture (CDC)?

• A technique to encrypt data

• A process to capture and replicate database changes

• A strategy to improve database performance

• A method to backup data

What types of changes does CDC capture from a database?

• Only insertions

• Only updates

• Only deletions

• Insertions, deletions, and updates

Where are the changes captured by CDC stored?

• In a spreadsheet

• In HDFS storage

• In a cloud storage

• In a local file system

What is the next step after understanding the CDC concept in the video?

• To write documentation

• To start coding the application

• To create the architecture from scratch

• To deploy the project