Kinesis Data Analytics is part of the Kinesis streaming platform along with Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Video streams. In this course, Handling Streaming Data with AWS Kinesis Data Analytics Using Java, you’ll work with live Twitter feeds to process real-time streaming data. First, you’ll create a developer account on the Twitter platform and generate authentication keys and tokens to access the Twitter streaming API. You’ll then write code to access these tweets as streaming messages and publish them to Kinesis Data Streams which can be used as a source of streaming data in Kinesis Data Analytics. Next, you’ll run Kinesis Data Analytics applications using the Apache Flink runtime to process tweets. You’ll deploy these applications using the web console as well as the command line. You’ll set up the right permissions, and configure these applications to use cloud monitoring and logging, and see how you can use log messages to debug errors in your applications. Finally, you’ll perform a number of different processing operations on streaming tweets, windowing operations using tumbling and sliding windows. You’ll apply global windows with count triggers, and continuous-time triggers. You’ll implement join operations and create branching pipelines to sink some results to DynamoDB and other results to S3. When you’re finished with this course, you’ll have the skills and knowledge to create and deploy streaming applications that process live streams such as Twitter messages.
Author Name: Janani Ravi
Author Description:
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing … more

Table of Contents

• Course Overview
  2mins
• Handling Streaming Data Using the Apache Flink Runtime
  59mins
• Monitoring Jobs Using CloudWatch
  43mins
• Processing Twitter Feeds Using Windowing Operations
  37mins
• Processing Twitter Feeds Using Join Operations
  31mins