ANZ Webinar Series On-Demand - Data, databases and analytics

Migrating to and modernising towards open source databases on AWS | SaaS Database Modernisation Journey featuring Leap Dev

Migrating to and modernising towards open source databases on AWS | Closing SQL Server Migration Journey

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

Migrating to and modernising towards open source databases on AWS | Session 2: Why refactor to an open source database (Aurora) and tools

Migrating to and modernising towards open source databases on AWS | Digital Native Business, Beem It

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

Migrating to and modernising towards open source databases on AWS | Session 3: Modernise SaaS Applications with Purpose Built Databases

(Level 200-300)

Migrating to and modernising towards open source databases on AWS | Opening Keynote

Speaker: Gavin Watson, Database Migration Specialist, AWS.

The Technical Leaders Guide: Portfolio of the possible when migrating and modernizing on AWS

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

Multisource, multispeed data pipelines and insights

A developer's guide to the data API and data sharing features of Amazon Redshift

Building a streaming data platform on AWS: Exploring and experimenting with data using open-source tools

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

Building a streaming data platform on AWS: The need for speed for every business – leveraging AWS platforms for real-time data analytics

Building a streaming data platform on AWS: Get started with building real-time analytics applications on AWS using data streaming

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

Building a streaming data platform on AWS: Opening Keynote

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

Become a nimble giant: Gain fast insights with Amazon Elasticsearch Service

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

Become a nimble giant: Gain fast insights with Amazon Elasticsearch Service

Episode 3: Serverless stream processing with SQL

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

Episode 4: Building end-to-end stream processing pipeline

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.

Episode 2: Stream data processing with Kinesis Data Firehose and AWS Lambda

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

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

In this first episode, we will cover the core concepts of real-time data processing. We will create an Amazon Kinesis Data Streams and populate data on stream by running a producer client program on a