Category: HAQM DataZone

HAQM DataZone recently announced the expansion of data analysis and visualization options for your project-subscribed data within HAQM DataZone using the HAQM Athena JDBC driver. In this post, you learn how the recent enhancements in HAQM DataZone facilitate a seamless connection with Tableau. By integrating Tableau with the comprehensive data governance capabilities of HAQM DataZone, we’re empowering data consumers to quickly and seamlessly explore and analyze their governed data.

HAQM DataZone now launched authentication support through the  HAQM Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more. This integration empowers data users to access and analyze governed data within HAQM DataZone using familiar tools, boosting both productivity and flexibility.

Adoption of data lakes and the data mesh framework emerges as a powerful approach. By decentralizing data ownership and distribution, enterprises can break down silos and enable seamless data sharing. In this post, we discuss how to choose the right tool for building an enterprise data platform and enabling data sharing, collaboration and access within your organization and with third-party providers. We address three business use cases using AWS Glue, AWS Data Exchange, AWS Clean Rooms, and HAQM DataZone through three different use cases.

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 […]

In this post, we show how to capture the data quality metrics for data assets produced in HAQM Redshift. With HAQM DataZone, the data owner can directly import the technical metadata of a Redshift database table and views to the HAQM DataZone project’s inventory. As these data assets gets imported into HAQM DataZone, it bypasses the AWS Glue Data Catalog, creating a gap in data quality integration. This post proposes a solution to enrich the HAQM Redshift data asset with data quality scores and KPI metrics.

HAQM 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 HAQM DataZone.

We are excited to announce a new feature in HAQM 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 […]

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 […]

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 HAQM DataZone. HAQM DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users […]

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 HAQM DataZone, to make data discoverable by data consumers across different business units so that they can innovate faster. We encourage you to read HAQM DataZone concepts and terminologies first to become familiar with the terms used in this post.