Title

AWS re:Invent 2023 - Data patterns: Get the big picture for data applications (PEX309)

Summary

Lenin Arivukadal, a Senior Partner Solution Architect, and his co-presenters Venkatesh Puryathambi and Matthew Horton, discuss modern data strategies and data patterns.
The session covers the importance of modern data strategy, the lifecycle of data management, and the challenges organizations face in data migration and modernization.
Four data patterns are discussed: migration of transactional and analytical workloads, modernization of applications, decentralization of organizational data (Data Mesh), and data governance.
Practical examples of migrations, such as GoDaddy's shift from a centralized to a decentralized approach, are provided.
The session also touches on generative AI and its implications for data strategy.
Runbooks and reference architectures are provided to guide attendees through the process of implementing these patterns.
The importance of data governance, quality, and security is emphasized, along with the need for a balanced approach to data management.
AWS services such as RDS, Redshift, QuickSight, DMS, Glue, EMR, Athena, Lake Formation, and SageMaker are highlighted as tools to support these patterns.
The session concludes with a call to action for attendees to ideate on business strategies, identify use cases, create runbooks, and work with AWS partners to build repeatable solutions.

Modern data strategy is crucial for organizations to manage the growing volume and complexity of data effectively.
Migration to AWS can be challenging due to factors like database volume, costs, manual efforts, and maintaining industry standards.
Modernization involves breaking down monolithic applications into microservices to accelerate innovation and address technical challenges.
Decentralization (Data Mesh) addresses scaling challenges and data complexity by promoting domain ownership and treating data as a product.
Data governance is essential for ensuring data quality, security, and compliance, and it should enable data to move freely across an organization.
Generative AI is an emerging trend with the potential to produce a significant portion of data by 2025, but it also brings challenges such as misinformation and intellectual property rights.
AWS provides a comprehensive set of tools and services to support data strategies, from ingestion and storage to analysis and machine learning.
Partner programs like "data-driven everything" and DBOLA (Database Optimization and Licensing Assessment) are available to assist organizations in their data journey.
The session emphasizes the importance of aligning mindset, people, process, and technology to derive more value from data.