Amazon Kinesis - Data Streams, Firehose, Analytics and Video Streams - AWS Certification


Let’s get a quick overview of Amazon Kinesis - Data Streams, Firehose, Analytics and Video Streams. We will look at important certification questions regarding Amazon Kinesis - Data Streams, Firehose, Analytics and Video Streams.

You will learn

  • How do you handle streaming data in AWS?
  • What is Amazon Kinesis?
  • What are the different Amazon Kinesis Options - Data Streams, Firehose, Analytics and Video Streams?
  • When do you use - Amazon Kinesis Data Streams vs Amazon Kinesis Firehose vs Amazon Kinesis Analytics vs Amazon Kinesis Video Streams?

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Amazon Kinesis

Amazon Kinesis Handles streaming data:

  • NOT recommended for ETL Batch Jobs

Some of the important components in Amazon Kinesis include:

  • Amazon Kinesis Data Streams
    • Process Data Streams
  • Amazon Kinesis Firehose
    • Data ingestion for streaming data : S3, Elasticsearch etc
  • Amazon Kinesis Analytics
    • Run queries against streaming data
  • Amazon Kinesis Video Streams
    • Monitor video streams

Amazon Kinesis Data Streams

Amazon Kinesis Data Streams is a limitless Real time stream processing. Provides Sub second processing latency.

Here are some of the important features of Amazon Kinesis Data Streams:

  • Alternative for Kafka
  • Supports multiple clients
    • Each client can track their stream position
  • Retain and replay data (max 7 days & default 1 day)

Amazon Kinesis Data Streams - Integrations

  • Use application integrations to generate streams
    • Toolkits : AWS SDK, AWS Mobile SDK, Kinesis Agent
    • Service Integrations : AWS IOT, CloudWatch Events and Logs
  • Process streams using Kinesis Stream Applications
    • Run on EC2 instances
    • Written using Kinesis Data Streams APIs

Amazon Kinesis Data Firehose

  • Data ingestion for streaming data
    • Receive
    • Process ( transform - Lambda, compress, encrypt )
    • Store stream data to S3, Elasticsearch, Redshift and Splunk
  • Use existing analytics tools based on S3, Redshift and Elasticsearch
  • Pay for volume of data ingested (Serverless)

Amazon Kinesis Analytics

  • You want to continuously find active number of users on a website in the last 5 minutes based on streaming website data
  • With Amazon Kinesis Analytics, you can write SQL queries and build Java applications to continuously analyze your streaming data

Amazon Kinesis Video Streams

  • Monitor video streams from web-cams
  • Examples: traffic lights, shopping malls, homes etc
  • Integrate with machine learning frameworks to get intelligence

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Moving Data between AWS and On-premises - Snowball vs Snowmobile vs DataSync

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Virtual Private Cloud and Subnet Fundamentals - VPC

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