AWS Certified Data Analytics Specialty 2021 – Hands-On - Introduction to Kinesis Analytics

The video tutorial provides an in-depth look at AWS Kinesis Analytics, a tool for processing streaming data. It covers the main components, including input data sources, real-time analytics using SQL, and output streams. The tutorial also discusses error handling, the use of reference tables for data enrichment, and integration with AWS Lambda for flexible data processing. Additionally, it introduces Kinesis Data Analytics for Apache Flink, highlighting its serverless nature and use cases like ETL and continuous metric generation.

What are the three main parts of Kinesis Data Analytics?

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How does Kinesis Data Analytics handle reference data?

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What is the role of the application code in Kinesis Data Analytics?

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Explain how Kinesis Data Analytics integrates with AWS Lambda.

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What is the significance of using Apache Flink with Kinesis Data Analytics?

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What are some of the supported syncs in Kinesis Data Analytics for Apache Flink?

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Describe a common use case for Kinesis Data Analytics in ETL processes.

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