Implementing Analytics and Real Time Data in AWS
This course will teach you how to use AWS application services to implement real-time data and analytics within your AWS accounts.
What you'll learn
Real-time data and analytics is a rapidly growing field in the IT industry, and there is a shortage of talent that can fill those gaps. In this course, Implementing Analytics and Real-Time Data in AWS, you’ll learn to leverage analytics and streaming services within AWS. First, you’ll explore using streaming services, like Kinesis and Firehose, within AWS to deliver data in near real-time. Next, you’ll discover how to best implement AWS big data services for your workloads. Finally, you’ll learn how to integrate a pub/sub architecture using AWS application services like SNS and SQS. When you’re finished with this course, you’ll have the skills and knowledge of how to leverage AWS streaming and analytic services needed to implement real-time data analytics into your own workloads.
Table of contents
- Course and Module Intro 2m
- Introducing Kinesis Data Streams 3m
- Creating Kinesis Data Streams 10m
- Kinesis Data Firehose Overview 2m
- Sending Data to Data Firehose 9m
- Kinesis Data Analytics 1m
- Creating Data Analytics Applications 5m
- Kinesis Video Streams 2m
- Viewing Playback on Video Streams 2m
- Module Review 1m
- Module Intro 1m
- Amazon EMR and Big Data Workloads 1m
- Creating an EMR Cluster 3m
- Amazon Redshift and Data Warehouses 1m
- Creating Redshift Clusters 6m
- ElasticSearch Service 2m
- Using ElasticSearch and Kibana 10m
- Amazon Quicksight for Business Insights 1m
- Creating a QuickSight Account 2m
- Module Review 2m
- Module Intro 1m
- Diving into Amazon SQS 2m
- Creating and Configuring SQS Queues 10m
- Connecting Lambda Triggers to SQS 5m
- Recapping Amazon SNS 2m
- Publishing and Subscribing to SNS Topics 8m
- Introduction to Pub/Sub Architectures 2m
- Creating Pub/Sub Architectures with SNS and SQS 6m
- What Are Step Functions? 1m
- Executing Step Function Workflows 6m
- Module Review 2m