AWS Big Data Blog
Category: Amazon DataZone
Seamless integration of data lake and data warehouse using Amazon Redshift Spectrum and Amazon DataZone
Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. A data mesh framework empowers business units with data ownership and facilitates seamless sharing. However, integrating datasets from different business units can present several […]
Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone
In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. With Amazon DataZone, the data owner can directly import the technical metadata of a Redshift database table and views to the Amazon DataZone project’s inventory. As these data assets gets imported into Amazon DataZone, it bypasses the AWS Glue Data Catalog, creating a gap in data quality integration. This post proposes a solution to enrich the Amazon Redshift data asset with data quality scores and KPI metrics.
Organize content across business units with enterprise-wide data governance using Amazon DataZone domain units and authorization policies
Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. In this post, we discuss common approaches to structuring domain units, use cases that customers in the healthcare and life sciences (HCLS) industry encounter, and how to get started with the new domain units and authorization policies features from Amazon DataZone.
Introducing data products in Amazon DataZone: Simplify discovery and subscription with business use case based grouping
We are excited to announce a new feature in Amazon DataZone that allows data producers to group data assets into well-defined, self-contained packages (data products) tailored for specific business use cases. For example, a marketing analysis data product can bundle various data assets such as marketing campaign data, pipeline data, and customer data. This simplifies […]
Federating access to Amazon DataZone with AWS IAM Identity Center and Okta
Many customers rely today on Okta or other identity providers (IdPs) to federate access to their technology stack and tools. With federation, security teams can centralize user management in a single place, which helps simplify and brings agility to their day-to-day operations while keeping highest security standards. To help develop a data-driven culture, everyone inside […]
Get started with the new Amazon DataZone enhancements for Amazon Redshift
In today’s data-driven landscape, organizations are seeking ways to streamline their data management processes and unlock the full potential of their data assets, while controlling access and enforcing governance. That’s why we introduced Amazon DataZone. Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users […]
How ATPCO enables governed self-service data access to accelerate innovation with Amazon DataZone
ATPCO is the backbone of modern airline retailing, enabling airlines and third-party channels to deliver the right offers to customers at the right time. ATPCO’s reach is impressive, with its fare data covering over 89% of global flight schedules. In this post, using one of ATPCO’s use cases, we show you how ATPCO uses AWS services, including Amazon DataZone, to make data discoverable by data consumers across different business units so that they can innovate faster. We encourage you to read Amazon DataZone concepts and terminologies first to become familiar with the terms used in this post.
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.
Amazon DataZone introduces OpenLineage-compatible data lineage visualization in preview
We are excited to announce the preview of API-driven, OpenLineage-compatible data lineage in Amazon DataZone to help you capture, store, and visualize lineage of data movement and transformations of data assets on Amazon DataZone. With the Amazon DataZone OpenLineage-compatible API, domain administrators and data producers can capture and store lineage events beyond what is available […]