Developing Stream Processing Applications with AWS Kinesis
AWS Kinesis is a powerful, real-time, elastic, reliable service for stream processing. This course will teach you how to build modern stream processing applications using AWS Kinesis, stream processing services, and Big Data frameworks.
What you'll learn
The landscape of the Big Data field is changing. Previously, you could go away with processing incoming data for hours or even days. Now you need to do it in minutes or even seconds. These challenges require new solutions, new architectures, and new tools. AWS Kinesis is a service for stream processing that allows building applications that were impossible to create before. In the course, Developing Stream Processing Applications with AWS Kinesis, you'll learn the ins and outs of AWS Kinesis. First, you'll discover how it works, how to scale it up and down, and how to write applications using it. Next, you'll learn how to use a variety of tools to work with it, such as Kinesis Client Library, Kinesis Connector Library, Apache Flink, and AWS Lambda. Finally, you'll explore how to use more high-level Kinesis products such as Kinesis Firehose and how to write streaming applications using SQL queries with Kinesis Analytics. When you are finished with this course, you'll have an in-depth knowledge of AWS Kinesis that will help you to build your streaming applications.
Table of contents
- Introduction 2m
- Kinesis Producer Library 6m
- Implementing KPL Producer 4m
- Kinesis Client Library 5m
- Implementing KCL Consumer 6m
- Checkpoints in KCL 2m
- Implementing Fault Tolerant Kinesis Consumer 3m
- Tweets Analytics 3m
- Implementing Tweets Analytics 8m
- Handling Resharding 3m
- Can We Do Better? 4m
- Summary 2m
Course FAQ
AWS Kinesis is used to collect large streams of data in real time from hundreds of thousands of sources.
Using AWS Kinesis, this course will teach you how to build modern stream processing applications, stream processing services, and Big Data frameworks.
This course is for those with an intermediate knowledge of stream processing and those wanting to learn the ins and outs of AWS Kinesis.
It is encouraged that you have an understanding of AWS Kinesis and other services.
You can visit https://www.pluralsight.com/paths/aws-big-data to learn the basics of Big Data on AWS before you take this course.
About the author
Ivan is a Principal Software Engineer and a Tech Lead who is passionate about Big Data and Cloud Computing. He has worked for numerous big IT companies including Samsung and Amazon Web Services. He is an Open Source enthusiast and has contributed to a number of projects including Gatling and Apache Flink. When he is not writing code or working on a new course, he is probably writing another technical article for his blog.
