Build data Lakes and Analytics on AWS: Patterns and Best Practices

Learn more about AWS Public Sector Summit Canberra at – https://amzn.to/31nfQsm  In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users. Speakers: Craig Roach, Solutions Architect, AWS David Scott, Director, Network and Asset Intelligence, Transport for NSW (RMS)

Deep Dive Into AWS Lake Formation - Level 300 (United States)
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Deep Dive Into AWS Lake Formation - Level 300 (United States)

AWS re:Invent 2018: Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)
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AWS re:Invent 2018: Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Conan O’Brien Mocks Trump At Harvard Commencement | Crowd Erupts During Viral Speech
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Conan O’Brien Mocks Trump At Harvard Commencement | Crowd Erupts During Viral Speech

AWS re:Invent 2018: Effective Data Lakes: Challenges and Design Patterns (ANT316)
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AWS re:Invent 2018: Effective Data Lakes: Challenges and Design Patterns (ANT316)

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
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GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

Data Lakes in the Cloud
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Data Lakes in the Cloud

AWS re:Invent 2020: An introduction to data lakes and analytics on AWS
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AWS re:Invent 2020: An introduction to data lakes and analytics on AWS

When You Try To Be Microsoft…The Fall Of Salesforce
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When You Try To Be Microsoft…The Fall Of Salesforce

AWS re:Invent 2019: [REPEAT 3] Serverless architectural patterns and best practices (ARC307-R3)
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AWS re:Invent 2019: [REPEAT 3] Serverless architectural patterns and best practices (ARC307-R3)

Building a Data Mesh Architecture with AWS Lake Formation - AWS Online Tech Talks
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Building a Data Mesh Architecture with AWS Lake Formation - AWS Online Tech Talks

AWS Explained: The Most Important AWS Services To Know
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AWS Explained: The Most Important AWS Services To Know

AWS re:Invent 2024 - Build large-scale transactional data lakes with open table formats (ANT336)
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AWS re:Invent 2024 - Build large-scale transactional data lakes with open table formats (ANT336)

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

Hands-On Power BI Tutorial 📊Beginner to Pro [Full Course] ⚡
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Hands-On Power BI Tutorial 📊Beginner to Pro [Full Course] ⚡

AWS re:Invent 2018: Build and Govern Your Data Lakes with AWS Glue (ANT309)
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AWS re:Invent 2018: Build and Govern Your Data Lakes with AWS Glue (ANT309)

Amazon EMR Deep Dive and Best Practices - AWS Online Tech Talks
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Amazon EMR Deep Dive and Best Practices - AWS Online Tech Talks

Data Modeling in the Modern Data Stack
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Data Modeling in the Modern Data Stack

Databricks Tutorial | Databricks Free Edition Tutorial with End-to-End Data + AI Project
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Databricks Tutorial | Databricks Free Edition Tutorial with End-to-End Data + AI Project