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Episode 3: Serverless stream processing with SQL

Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. In this episode, we will cover how the different techniques of stateless and stateful stream processing works.

What you learn in Episode 3:

  • Create your Kinesis Data Analytics for SQL Applications
  • Write SQL code and do schema transformation
  • Learn different features available for stream processing with Kinesis Data Analytics
  • Complex data analysis using inbuilt Machine learning feature

Who should attend:
Developers, DBAs, IT Pros, Architects, Data Engineers, Data Analysts

Speakers:
Masudur Rahaman Sayem, Specialist SA - Data & Analytics

Previous Video
Episode 4: Building end-to-end stream processing pipeline
Episode 4: Building end-to-end stream processing pipeline

In this episode we will build an Apache Flink application with Kinesis Data Analytics for Java Applications...

Next Video
Episode 2: Stream data processing with Kinesis Data Firehose and AWS Lambda
Episode 2: Stream data processing with Kinesis Data Firehose and AWS Lambda

In this episode, we will cover how to do serverless stream processing with AWS Lambda and how to ingest dat...