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EIEIO / DATA SCIENCE

Data Streaming with AWS Kinesis

Course outline

2 days
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Duration

Data Streaming with AWS Kinesis

2 days

Overview

Real-time streaming technologies are growing in popularity among the many technological drivers of business innovation because users are increasingly demanding personalized experiences which adapt and respond to them based on their journey through digital products and services. The AWS Kinesis suite of stream persistence and processing services have come to be recognized as first class choice for achieving the kinds of event driven architectures feeding into real-time analytics.

In this course participants will learn to harness the power of Kinesis Data Streams (KDS) and Kinesis Data Firehose (KDF) to construct high-throughput, low latency, pipelines of data across a variety of architectural components leading to scalable and loosely coupled systems.

Introduction

  • Overview of the Training and Hands-On Case Study

Stream Data Collection

Introduction

  • Kinesis Data Streams Overview
  • Kinesis Producers
  • Kinesis Consumers
  • Kinesis Data Streams - Hands On
  • Kinesis Enhanced Fan Out
  • Kinesis Scaling
  • Kinesis - Handling Duplicate Records
  • Kinesis Security
  • Kinesis Data Firehose
  • CloudWatch Subscription Filters with Kinesis
  • [Exercise] Kinesis Firehose
  • [Exercise] Kinesis Data Streams
  • SQS Overview
  • Kinesis Data Streams vs SQS
  • Database Migration Service (DMS)
  • Direct Connect
  • Snow Family
  • MSK: Managed Streaming for Apache Kafka
  • MSK Connect
  • MSK Serverless
  • Kinesis vs MSK

Programme scope, delivery arrangements and suitability are confirmed during enquiry.