What Will I Get ?

• Learn how the service collects, processes and analyzes streaming data in real-time using Amazon Kinesis Analytics
• Learn how to load streaming data into AWS using Amazon Kinesis Firehose
• Learn to collect, process and analyze real-time streaming data to create valuable insights using Amazon Kinesis Streams
• Learn to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing using Amazon Kinesis Video Streams
• Learn to build custom, real-time applications that process data streams using popular stream processing frameworks using Amazon Kinesis Data Streams

Requirements

• You need to have access to AWS CLI and AWS Management Console
• Anyone who wants to learn AWS Serverless technologies for data and analytics should take this course
• Willing to learn new exciting things!

Description

Amazon Kinesis is a managed, scalable, cloud-based service that allows real-time processing of streaming large amount of data per second. It is designed for real-time applications and allows developers to take in any amount of data from several sources, scaling up and down that can be run on EC2 instances.

It is used to capture, store, and process data from large, distributed streams such as event logs and social media feeds. After processing the data, Kinesis distributes it to multiple consumers simultaneously.

In this course we will learn and practice different types of kinesis services like

1. Kinesis Video Streams that capture, process, and store video streams for analytics and machine learning

2. Kinesis Data Streams that collect streaming data, at scale, for real-time analytics

3. Amazon Kinesis Firehose ,which helps you load streaming data into AWS  

4. Amazon Kinesis Analytics, which helps you query streaming data or build entire streaming applications using SQL.