Aws Re:invent 2020: An Introduction To Data Lakes And Analytics On Aws

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

AWS re:Invent 2020: Nationwide’s journey to a governed data lake on AWS

AWS re:Invent 2020: Stop struggling with analytics on the data lake (Databricks)

AWS re:Invent 2020: How to build a test framework for your data lake

AWS re:Invent 2019: How Woot.com built a serverless data lake with AWS analytics (ANT333)

AWS re:Invent 2017 - Data Lakes on AWS

Amazon Web Services

AWS re:Invent 2020: Harness the power of data with AWS analytics

AWS re:Invent 2020: How BMW Group uses AWS serverless analytics for a data-driven ecosystem

AWS re:Invent 2020: Break down data silos: Build a serverless data lake on Amazon S3

AWS re:Invent 2020: Design best practices for architecting a data-to-insights solution on AWS

AWS re:Invent 2020: Utility meter data analytics and Quick Start walk-through

AWS re:Invent 2020: Gameloft: A zero downtime data lake migration deep dive

AWS re:Invent 2021 - Introduction to AWS Data Exchange for Amazon Redshift

AWS re:Invent 2020: How Twilio scaled business intelligence with a data lake powered by AWS

AWS re:Invent 2020: How FINRA operates PB-scale analytics on data lakes with Amazon Athena

AWS re:Invent 2020: The evolution of cloud architecture

AWS re:Invent 2019: Deep dive on using AWS Data Exchange for ML and data analytics (MKT212)

AWS re:Invent 2020: The lake house approach to data warehousing with Amazon Redshift

AWS re:Invent 2022 - Building and operating a data lake on Amazon S3 (STG302)