AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Kinesis Analytics, Part 3

The video tutorial demonstrates setting up a Kinesis Studio notebook with custom settings, creating a Glue database, and using Apache Flink to process streaming data. It covers creating a Flink table, testing data flow, and analyzing data using SQL. The tutorial also explains integrating Kinesis with AWS Lambda and SNS to trigger alerts based on data thresholds.

What is the purpose of the 'transaction rate alarm' database created in Glue?

In what way does Apache Zeppelin enhance the notebook environment for Kinesis?

What are the key components of the schema defined for the orders JSON table?

How does the system ensure that it only triggers an alarm for unusual order behavior?