AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Consumers

The video tutorial covers various methods to consume data from Kinesis Data Streams, including the use of the Kinesis SDK, Kinesis Client Library (KCL), and Lambda. It explains the polling mechanism, its constraints, and how multiple consumers affect throughput. The tutorial also discusses the deprecated Kinesis Connector Library and its alternatives, such as Kinesis Firehose and Lambda. Additionally, it highlights the use of DynamoDB for coordination and checkpointing in KCL and the role of Lambda in real-time data processing and notifications.

What are the classic consumers for Kinesis Data Streams?

Explain the difference between Kinesis Client Library (KCL) and Kinesis Producer Library (KPL).

What is the maximum throughput per shard for Kinesis Data Streams?

Describe the polling mechanism used by consumers in Kinesis Data Streams.

What are the implications of having multiple consumers reading from the same shard?

How does the Kinesis Client Library (KCL) handle checkpointing?

What role does DynamoDB play in the Kinesis Client Library (KCL)?