Episode 1: Real-time data processing core concepts and create your first data stream

Why SaaS & DNB businesses run commercial databases on AWS (Level 200)

How Attend Anywhere successfully enabled and supported exponential demand during COVID with Amazon DynamoDB

How Digital Native Business, Beem It, used Amazon DynamoDB to help build a serverless and scalable solution for their new QR code payment platform

(Level 200-300)

Speaker: Gavin Watson, Database Migration Specialist, AWS.

Dive deep into the world of modern applications, learn best practices to modernize your applications, and take your business to the next level.

Learn the power of tooling to assist in data preparation, analysis, visualising data and model validation.

In this session, we will cover data-streaming services available on AWS that will help you implement real-time analytics.

Speaker: Babak Darashte, Head of Data & Analytics Solutions Architecture Asia Pacific & Japan, Amazon Web Services

One of the hallmarks of digital transformation is increased speed and agility. Decisions need to be made quickly using data and algorithms. Increasing search capabilities and observability of digital

Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. In this episode, we will cover how t

In this episode we will build an Apache Flink application with Kinesis Data Analytics for Java Applications and we will build dashboard for visualization using Amazon Elasticsearch service.

In this episode, we will cover how to do serverless stream processing with AWS Lambda and how to ingest data to Amazon S3 using Amazon Kinesis Data Firehose delivery stream. What you learn in Episo

Overview: In this session, you will learn how to crawl your data in your Amazon S3 data lake and query your data using standard SQL in a serverless manner using Amazon Athena. This session will also