AWS re:Invent 2023 - Build an end-to-end data strategy for analytics and generative AI (ANT331)

AWS re:Invent 2023 - How Electronic Arts modernized its data platform with Amazon EMR (ANT320)

AWS re:Invent 2023 - Navigating the journey to serverless event-driven architecture (API303)

AWS re:Invent 2023 - Choosing the right generative AI use case (AIM212)

AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407)

QE Week 2023 | Day 2

AWS re:Invent 2023 - New AWS generative AI features and tools for developers (DOP212)

AWS re:Invent 2023 - Data patterns for generative AI applications (DAT338)

Building a Data Strategy — Practical Steps for Aligning with Business Goals

AWS re:Invent 2023 - What’s new in AWS Lake Formation (ANT303)

AWS re:Invent 2023 - Keynote with Dr. Swami Sivasubramanian

Practical Guide to Synapse Spark in Azure Synapse Analytics | Azure Synapse | Apache Spark | EDMData

AWS re:Invent 2023 - Building and optimizing a data lake on Amazon S3 (STG313)

Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat

Revolutionize Data Analytics Strategy With Microsoft Fabric

AWS re:Invent 2023 - Curate your data at scale (ANT205)

Business Analyst Full Course [2024] | Business Analyst Tutorial For Beginners | Edureka

AWS re:Invent 2023 - Scale complete ML development with Amazon SageMaker Studio (AIM325)

Building Data Lakes on AWS: Build a simple Data Lake on AWS with AWS Glue, Amazon Athena, and S3

AWS re:Invent 2023 - A leader’s guide to generative AI: Using history to shape the future (SEG204)

AWS re:Invent 2023 - Accelerating life sciences innovation with generative AI on AWS (LFS202)