What you'll learn

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

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

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

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

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

Who is the target audience?

Anyone who wants to learn about AWS Kinesis streams and the streaming data management
Anyone who wants to solve many streaming data problems including real-time aggregation of data and loading the aggregate data into other applications