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

  • Migrating to and modernising towards open source databases on AWS | Session 134:45

    Migrating to and modernising towards open source databases on AWS | Session 1

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

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  • Migrating to and modernising towards open source databases on AWS | SaaS Database Modernisation Journey featuring Leap Dev14:56

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

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  • Migrating to and modernising towards open source databases on AWS | Closing SQL Server Migration Journey12:22

    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

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  • Migrating to and modernising towards open source databases on AWS | Session 2: Why refactor to an open source database (Aurora) and tools27:15

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

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  • Migrating to and modernising towards open source databases on AWS | Digital Native Business, Beem It16:59

    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

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  • Migrating to and modernising towards open source databases on AWS | Session 3: Modernise SaaS Applications with Purpose Built Databases26:09

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

    (Level 200-300)

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  • Migrating to and modernising towards open source databases on AWS | Opening Keynote19:02

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

    Speaker: Gavin Watson, Database Migration Specialist, AWS.

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  • The Technical Leaders Guide: Portfolio of the possible when migrating and modernizing on AWS1:48:48

    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.

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  • Multisource, multispeed data pipelines and insights 1:01:05

    Multisource, multispeed data pipelines and insights

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  • A developer's guide to the data API and data sharing features of Amazon Redshift52:01

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

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  • Building a streaming data platform on AWS: Exploring and experimenting with data using open-source tools24:50

    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.

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  • Building a streaming data platform on AWS: The need for speed for every business – leveraging AWS platforms for real-time data analytics36:11

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

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  • Building a streaming data platform on AWS: Get started with building real-time analytics applications on AWS using data streaming32:13

    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.

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  • Building a streaming data platform on AWS: Opening Keynote16:41

    Building a streaming data platform on AWS: Opening Keynote

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

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  • Become a nimble giant: Gain fast insights with Amazon Elasticsearch Service50:17

    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

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  • Become a nimble giant: Gain fast insights with Amazon Elasticsearch Service1:01:32

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

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  • Episode 3: Serverless stream processing with SQL32:38

    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

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  • Episode 4: Building end-to-end stream processing pipeline27:51

    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.

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  • Episode 2: Stream data processing with Kinesis Data Firehose and AWS Lambda59:34

    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

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  • Episode 1: Real-time data processing core concepts and create your first data stream36:44

    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

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