AWS Big Data Blog
Author: Bandana Das
Bandana Das is a Senior Data Architect at Amazon Web Services and specializes in data and analytics. She builds event-driven data architectures to support customers in data management and data-driven decision-making. She is also passionate about enabling customers on their data management journey to the cloud.
Govern Amazon Redshift Data Warehouses Data Across Accounts using Amazon SageMaker Unified Studio
In this post, we show you how to use Amazon SageMaker Unified Studio to implement cross-account data sharing in Amazon Redshift using data mesh principles. We demonstrate how to build a scalable data mesh architecture that supports secure, auditable data sharing across AWS accounts while reducing operational burden.
Breaking down data silos: Volkswagen’s approach with Amazon DataZone
In this post, we introduce Amazon DataZone and explore how Volkswagen used Amazon DataZone to build their data mesh, tackle the challenges encountered, and break the data silos.
Streamline your data governance by deploying Amazon DataZone with the AWS CDK
Managing data across diverse environments can be a complex and daunting task. Amazon DataZone simplifies this so you can catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. Many organizations manage vast amounts of data assets owned by various teams, creating a complex landscape that poses challenges for scalable data […]
How Volkswagen streamlined access to data across multiple data lakes using Amazon DataZone – Part 1
This blog post introduces Amazon DataZone and explores how VW used it to build their data mesh to enable streamlined data access across multiple data lakes. It focuses on the key aspect of the solution, which was enabling data providers to automatically publish data assets to Amazon DataZone, which served as the central data mesh for enhanced data discoverability. Additionally, the post provides code to guide you through the implementation.