#AmazonDataZone

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5 months ago

Amazon DataZone is now available in 3 additional commercial regions Amazon DataZone is now available in AWS Asia Pacific (Hong Kong), Asia Pacific (Malaysia) and Europe (Zurich) Regions. Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other collaborators working on the same business use case. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing and subscription workflow provides access to auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration of data and AI across your lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone), users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or they could just ask Amazon Q Developer using natural language to find their data. For more information on AWS Regions where the next generation of SageMaker is available, see https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html. To learn more about the next generation of SageMaker, visit the https://aws.amazon.com/sagemaker/.

Amazon DataZone is now available in 3 additional commercial regions

Amazon DataZone is now available in AWS Asia Pacific (Hong Kong), Asia Pacific (Malaysia) and Europe (Zurich) Regions.

Amazon DataZone is a fully managed data management service to catalog, discover,...

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5 months ago

Amazon DataZone is now available in 3 additional commercial regions Amazon DataZone is now available in AWS Asia Pacific (Hong Kong), Asia Pacific (Malaysia) and Europe (Zurich) Regions. Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other collaborators working on the same business use case. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing and subscription workflow provides access to auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see supported regions. Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration of data and AI across your lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone), users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or they could just ask Amazon Q Developer using natural language to find their data. For more information on AWS Regions where the next generation of SageMaker is available, see supported regions. To learn more about the next generation of SageMaker, visit the product webpage.

🆕 Amazon DataZone expands to Asia Pacific (Hong Kong), Asia Pacific (Malaysia), and Europe (Zurich). It catalogs, discovers, and governs data, now powering next-gen Amazon SageMaker for data and AI governance. For region details, see supported regions.

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AWS News(Unofficial)

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9 months ago

Amazon DataZone launches upgrade domain to SageMaker Today, Amazon DataZone and Amazon SageMaker announced a new user interface (UI) capability allowing a DataZone domain to be upgraded and used directly in the next generation of Amazon SageMaker. This makes the investment customers put into developing Amazon DataZone transferable to Amazon SageMaker. All content created and curated through Amazon DataZone such as assets, metadata forms, glossaries, subscriptions, etc. are available to users through Amazon SageMaker Unified Studio after the upgrade. As an Amazon DataZone administrator, you can choose which of your domains to upgrade to Amazon SageMaker via a UI driven experience. The upgraded domain lets you leverage your existing Amazon DataZone implementation in the new Amazon SageMaker environment and expand to new SQL analytics, data processing and AI uses cases. Additionally, after upgrading both Amazon DataZone and Amazon SageMaker portals remain accessible. This provides administrators flexibility with user rollout of Amazon SageMaker, while ensuring business continuity for users operating within Amazon DataZone. By upgrading to Amazon SageMaker, users can build on their investment from Amazon DataZone by utilizing Amazon SageMaker's unified platform that serves as the central hub for all data, analytics, and AI needs. The domain upgrade capability is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where Amazon DataZone and Amazon SageMaker is supported, including: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), South America (São Paulo), Mumbai (BOM), Stockholm (ARN), and Paris (CDG). To learn more, visit https://aws.amazon.com/datazone/ and https://aws.amazon.com/sagemaker/ then get started with the https://docs.aws.amazon.com/datazone/latest/userguide/upgrade-domain.html.

Amazon DataZone launches upgrade domain to SageMaker

Today, Amazon DataZone and Amazon SageMaker announced a new user interface (UI) capability allowing a DataZone domain to be upgraded and used directly in the next generation of Amazon SageMaker. This ma...

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9 months ago

Amazon DataZone launches upgrade domain to SageMaker Today, Amazon DataZone and Amazon SageMaker announced a new user interface (UI) capability allowing a DataZone domain to be upgraded and used directly in the next generation of Amazon SageMaker. This makes the investment customers put into developing Amazon DataZone transferable to Amazon SageMaker. All content created and curated through Amazon DataZone such as assets, metadata forms, glossaries, subscriptions, etc. are available to users through Amazon SageMaker Unified Studio after the upgrade. As an Amazon DataZone administrator, you can choose which of your domains to upgrade to Amazon SageMaker via a UI driven experience. The upgraded domain lets you leverage your existing Amazon DataZone implementation in the new Amazon SageMaker environment and expand to new SQL analytics, data processing and AI uses cases. Additionally, after upgrading both Amazon DataZone and Amazon SageMaker portals remain accessible. This provides administrators flexibility with user rollout of Amazon SageMaker, while ensuring business continuity for users operating within Amazon DataZone. By upgrading to Amazon SageMaker, users can build on their investment from Amazon DataZone by utilizing Amazon SageMaker's unified platform that serves as the central hub for all data, analytics, and AI needs. The domain upgrade capability is available in all AWS Regions where Amazon DataZone and Amazon SageMaker is supported, including: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), South America (São Paulo), Mumbai (BOM), Stockholm (ARN), and Paris (CDG). To learn more, visit Amazon DataZone and Amazon SageMaker then get started with the upgrade domain documentation.

🆕 Amazon DataZone now lets users upgrade domains to Amazon SageMaker, transferring DataZone investments. All content is available in SageMaker's Unified Studio. Upgrades are region-wide, maintaining DataZone and SageMaker portals for business continuity.

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AWS News(Unofficial)

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10 months ago

Amazon SageMaker launches AWS CloudFormation support for domain features Today, Amazon SageMaker and Amazon DataZone added support for multiple domain features through AWS CloudFormation. Customers can now use AWS CloudFormation to model and manage domain units and their owners. Additionally, customers can set the AWS IAM Identity Center instance for a domain. Programmatically deploying these resources through AWS CloudFormation facilitates secure, efficient, and consistent provisioning of Amazon SageMaker and Amazon DataZone domains. As an Amazon SageMaker or Amazon DataZone administrator, you can now create AWS CloudFormation scripts to assign the domain’s IAM Identity Center instance appropriate for your single sign-on user population. Administrators can then create and manage their domain units and enable users to organize, create, search, and find data assets and projects associated with business units or teams. AWS CloudFormation support for these features is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where Amazon SageMaker and Amazon DataZone are available. To learn more, visit https://aws.amazon.com/sagemaker/ and get started with https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/AWS_DataZone.html documentation.

Amazon SageMaker launches AWS CloudFormation support for domain features

Today, Amazon SageMaker and Amazon DataZone added support for multiple domain features through AWS CloudFormation. Customers can now use AWS CloudFormation to model and manage domain...

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10 months ago

Amazon SageMaker launches AWS CloudFormation support for domain features Today, Amazon SageMaker and Amazon DataZone added support for multiple domain features through AWS CloudFormation. Customers can now use AWS CloudFormation to model and manage domain units and their owners. Additionally, customers can set the AWS IAM Identity Center instance for a domain. Programmatically deploying these resources through AWS CloudFormation facilitates secure, efficient, and consistent provisioning of Amazon SageMaker and Amazon DataZone domains. As an Amazon SageMaker or Amazon DataZone administrator, you can now create AWS CloudFormation scripts to assign the domain’s IAM Identity Center instance appropriate for your single sign-on user population. Administrators can then create and manage their domain units and enable users to organize, create, search, and find data assets and projects associated with business units or teams. AWS CloudFormation support for these features is available in all AWS Regions where Amazon SageMaker and Amazon DataZone are available. To learn more, visit Amazon SageMaker and get started with AWS CloudFormation documentation.

🆕 Amazon SageMaker now supports AWS CloudFormation for domain features, allowing secure, efficient provisioning of SageMaker and DataZone domains. Admins manage units and IAM Identity Center via CloudFormation scripts. Available in all SageMaker and DataZone …

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AWS News(Unofficial)

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11 months ago

Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI application development across virtually any use case.

Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available

Amazon SageMaker Unified Studio is a single data and AI development ...

#AWS #AmazonBedrock #AmazonDatazone #AmazonQDeveloper #AmazonSagemakerUnifiedStudio #Analytics #Announcements #Featured #Launch #News

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AWS News(Unofficial)

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11 months ago

Amazon SageMaker introduces metadata rules to enforce standards and improve data governance https://aws.amazon.com/sagemaker/ brings together widely adopted AWS machine learning and analytics capabilities, delivering an integrated experience with unified access to all data. Amazon SageMaker Lakehouse supports unified data access, and Amazon SageMaker Catalog, built on Amazon DataZone, offers catalog and governance features to meet enterprise security needs. Amazon SageMaker Catalog now supports metadata rules, allowing organizations to enforce metadata standards across data publishing and subscription workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline access workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can require producers to classify data before publication, and consumers to provide project details and compliance evidence as part of an access request. Healthcare providers can use metadata rules to enforce metadata standards to align with patient data regulations. Metadata rules also enable the creation of custom approval workflows for subscriptions to assets, using collected metadata to facilitate access decisions or auto-fulfillment—outside of Amazon SageMaker. To get started with metadata rules— Read the https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/metadata-rules-publishing.html for creating rules in the publishing workflow Read the https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/metadata-rules-subscription.html for creating rules in subscription requests

Amazon SageMaker introduces metadata rules to enforce standards and improve data governance

https://aws.amazon.com/sagemaker/ brings together widely adopted AWS machine learning and analytics capabilities, delivering an integrated experience with unified ...

#AWS #AmazonSagemaker #AmazonDatazone

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AWS News(Unofficial)

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11 months ago

Amazon DataZone now supports metadata rules for publishing https://aws.amazon.com/datazone/ is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. Amazon DataZone now supports metadata rules for data publishing workflows, in addition to existing support for subscription workflows. This enhancement allows organizations to enforce metadata standards consistently across both producer and consumer workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can require producers to classify data before publication, and consumers to provide project details and compliance evidence as part of an access request. Healthcare providers can use metadata rules to enforce metadata standards to align with patient data regulations. Metadata rules also enable the creation of custom approval workflows for subscriptions to assets, using collected metadata to facilitate access decisions or auto-fulfillment—outside of Amazon DataZone. To get started with metadata rules— Read the https://docs.aws.amazon.com/datazone/latest/userguide/metadata-rules-publishing.html for creating rules in the publishing workflow Read the https://docs.aws.amazon.com/datazone/latest/userguide/metadata-rules.html for creating rules in subscription requests

Amazon DataZone now supports metadata rules for publishing

https://aws.amazon.com/datazone/ is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-p...

#AWS #AmazonDatazone #AmazonSagemaker

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11 months ago

Amazon SageMaker introduces metadata rules to enforce standards and improve data governance The next generation of SageMaker brings together widely adopted AWS machine learning and analytics capabilities, delivering an integrated experience with unified access to all data. Amazon SageMaker Lakehouse supports unified data access, and Amazon SageMaker Catalog, built on Amazon DataZone, offers catalog and governance features to meet enterprise security needs. Amazon SageMaker Catalog now supports metadata rules, allowing organizations to enforce metadata standards across data publishing and subscription workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline access workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can require producers to classify data before publication, and consumers to provide project details and compliance evidence as part of an access request. Healthcare providers can use metadata rules to enforce metadata standards to align with patient data regulations. Metadata rules also enable the creation of custom approval workflows for subscriptions to assets, using collected metadata to facilitate access decisions or auto-fulfillment—outside of Amazon SageMaker. To get started with metadata rules— Read the user guide for creating rules in the publishing workflow Read the user guide for creating rules in subscription requests

🆕 Amazon SageMaker introduces metadata rules to enforce standards, improve data governance, and streamline workflows. Organizations can define mandatory fields, enhance compliance, and create custom approval workflows for asset access.

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11 months ago

Amazon DataZone now supports metadata rules for publishing Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. Amazon DataZone now supports metadata rules for data publishing workflows, in addition to existing support for subscription workflows. This enhancement allows organizations to enforce metadata standards consistently across both producer and consumer workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can require producers to classify data before publication, and consumers to provide project details and compliance evidence as part of an access request. Healthcare providers can use metadata rules to enforce metadata standards to align with patient data regulations. Metadata rules also enable the creation of custom approval workflows for subscriptions to assets, using collected metadata to facilitate access decisions or auto-fulfillment—outside of Amazon DataZone. To get started with metadata rules— Read the user guide for creating rules in the publishing workflow Read the user guide for creating rules in subscription requests

🆕 Amazon DataZone now supports metadata rules for data publishing, enhancing governance and compliance by enforcing consistent metadata standards across workflows, improving audit readiness, and streamlining processes.

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AWS News(Unofficial)

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11 months ago

Amazon DataZone is now available in 2 additional commercial regions Amazon DataZone is now available in 2 additional commercial regions: Asia Pacific (Mumbai) and Europe (Paris). Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other business use case collaborators. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing-and-subscription workflow provides access-auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration for data and AI across your Lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone) and SageMaker Unified Studio, users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or you could just ask Amazon Q Developer with natural language to find your data. For more information on AWS Regions where the next generation of SageMaker is available, see https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html. To learn more about the next generation of SageMaker, visit the https://aws.amazon.com/sagemaker/.

Amazon DataZone is now available in 2 additional commercial regions

Amazon DataZone is now available in 2 additional commercial regions: Asia Pacific (Mumbai) and Europe (Paris).

Amazon DataZone is a fully managed data management service to catalog, discover, analyze...

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11 months ago

Amazon DataZone is now available in 2 additional commercial regions Amazon DataZone is now available in 2 additional commercial regions: Asia Pacific (Mumbai) and Europe (Paris). Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other business use case collaborators. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing-and-subscription workflow provides access-auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see supported regions. Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration for data and AI across your Lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone) and SageMaker Unified Studio, users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or you could just ask Amazon Q Developer with natural language to find your data. For more information on AWS Regions where the next generation of SageMaker is available, see supported regions. To learn more about the next generation of SageMaker, visit the product webpage.

🆕 Amazon DataZone is now available in Asia Pacific (Mumbai) and Europe (Paris). This service catalogs, discovers, and governs data, enabling data producers and consumers to share and analyze data assets with integrated publishing-and-subscription workflows.

#AWS #AmazonDatazone

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AWS News(Unofficial)

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1 year ago

Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI application development across virtually any use case.

Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available

Amazon SageMaker Unified Studio is a single data and AI development ...

#AWS #AmazonBedrock #AmazonDatazone #AmazonQDeveloper #AmazonSagemakerUnifiedStudio #Analytics #Announcements #Featured #Launch #News

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trkamag

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1 year ago

Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker - AWS Discover more about what's new at AWS with Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker

Data Lineage is now generally available in #AmazonDataZone and next generation of #AmazonSageMaker

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1 year ago

Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker AWS announces general availability of Data Lineage in Amazon DataZone and next generation of Amazon SageMaker, a capability that automatically captures lineage from AWS Glue and Amazon Redshift to visualize lineage events from source to consumption. Being OpenLineage compatible, this feature allows data producers to augment the automated lineage with lineage events captured from OpenLineage-enabled systems or through API, to provide a comprehensive data movement view to data consumers. This feature automates lineage capture of schema and transformations of data assets and columns from AWS Glue, Amazon Redshift, and Spark executions in tools to maintain consistency and reduce errors. With in-built automation, domain administrators and data producers can automate capture and storage of lineage events when data is configured for data sharing in the business data catalog. Data consumers can gain confidence in an asset's origin from the comprehensive view of its lineage while data producers can assess the impact of changes to an asset by understanding its consumption. Additionally, the data lineage feature versions lineage with each event, enabling users to visualize lineage at any point in time or compare transformations across an asset's or job's history. This historical lineage provides a deeper understanding of how data has evolved, essential for troubleshooting, auditing, and validating the integrity of data assets. The data lineage feature is generally available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where Amazon DataZone and next generation of Amazon SageMaker are available. To learn more, visit https://aws.amazon.com/datazone/features/data-discovery/ and next generation of Amazon SageMaker.

Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker

AWS announces general availability of Data Lineage in Amazon DataZone and next generation of Amazon SageMaker, a capability that automatically captures line...

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1 year ago

Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker AWS announces general availability of Data Lineage in Amazon DataZone and next generation of Amazon SageMaker, a capability that automatically captures lineage from AWS Glue and Amazon Redshift to visualize lineage events from source to consumption. Being OpenLineage compatible, this feature allows data producers to augment the automated lineage with lineage events captured from OpenLineage-enabled systems or through API, to provide a comprehensive data movement view to data consumers. This feature automates lineage capture of schema and transformations of data assets and columns from AWS Glue, Amazon Redshift, and Spark executions in tools to maintain consistency and reduce errors. With in-built automation, domain administrators and data producers can automate capture and storage of lineage events when data is configured for data sharing in the business data catalog. Data consumers can gain confidence in an asset's origin from the comprehensive view of its lineage while data producers can assess the impact of changes to an asset by understanding its consumption. Additionally, the data lineage feature versions lineage with each event, enabling users to visualize lineage at any point in time or compare transformations across an asset's or job's history. This historical lineage provides a deeper understanding of how data has evolved, essential for troubleshooting, auditing, and validating the integrity of data assets. The data lineage feature is generally available in all AWS Regions where Amazon DataZone and next generation of Amazon SageMaker are available. To learn more, visit Amazon DataZone and next generation of Amazon SageMaker.

🆕 Data Lineage is now generally available in Amazon DataZone and next generation of Amazon SageMaker

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AWS News(Unofficial)

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1 year ago

Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI

Unify data engineering, analytics, and generative AI in ...

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AWS News(Unofficial)

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1 year ago

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone Realize visual traceability of data origins, transformations, and usage - bolstering trust, governance, and discoverability for strategic data-driven decisions.

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone

Realize visual traceability of data origins, transformations, and usage - bolstering trust, governance, and...

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1 year ago

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation - boost productivity and innovation for data teams.

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcemen...

#AWS #AmazonDatazone #AmazonSagemaker #Announcements #Featured #Launch #News

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AWS News(Unofficial)

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1 year ago

Amazon DataZone now enhances data access governance with enforced metadata rules Amazon DataZone now supports enforced metadata rules for data access workflows, providing organizations with enhanced capabilities to strengthen governance and compliance with their organization needs. This new feature allows domain owners to define and enforce mandatory metadata requirements, ensuring data consumers provide essential information when requesting access to data assets in Amazon DataZone. By streamlining metadata governance, this capability helps organizations meet compliance standards, maintain audit readiness, and simplify access workflows for greater efficiency and control. With enforced metadata rules, domain owners can establish consistent governance practices across all data subscriptions. For example, financial services organizations can mandate specific compliance-related metadata when data consumers request access to sensitive financial data. Similarly, healthcare providers can enforce metadata requirements to align with regulatory standards for patient data access. This feature simplifies the approval process by guiding data consumers through completing mandatory fields and enabling data owners to make informed decisions, ensuring data access requests meet organizational policies. The feature is supported in https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/?p=ngi&loc=4 where Amazon DataZone is currently available. Check out this https://aws.amazon.com/blogs/big-data/enhance-data-governance-with-enforced-metadata-rules-in-amazon-datazone/ and https://www.youtube.com/watch?v=4zEjwiea45U to learn more about how to set up metadata rules for subscription workflows. Get started with the technical https://docs.aws.amazon.com/datazone/latest/userguide/metadata-rules.html.

Amazon DataZone now enhances data access governance with enforced metadata rules

Amazon DataZone now supports enforced metadata rules for data access workflows, providing organizations with enhanced capabilities to strengthen governance and compliance with their organizat...

#AWS #AmazonDatazone

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1 year ago

Amazon DataZone now enhances data access governance with enforced metadata rules Amazon DataZone now supports enforced metadata rules for data access workflows, providing organizations with enhanced capabilities to strengthen governance and compliance with their organization needs. This new feature allows domain owners to define and enforce mandatory metadata requirements, ensuring data consumers provide essential information when requesting access to data assets in Amazon DataZone. By streamlining metadata governance, this capability helps organizations meet compliance standards, maintain audit readiness, and simplify access workflows for greater efficiency and control. With enforced metadata rules, domain owners can establish consistent governance practices across all data subscriptions. For example, financial services organizations can mandate specific compliance-related metadata when data consumers request access to sensitive financial data. Similarly, healthcare providers can enforce metadata requirements to align with regulatory standards for patient data access. This feature simplifies the approval process by guiding data consumers through completing mandatory fields and enabling data owners to make informed decisions, ensuring data access requests meet organizational policies. The feature is supported in all the AWS commercial regions where Amazon DataZone is currently available. Check out this blog and video to learn more about how to set up metadata rules for subscription workflows. Get started with the technical documentation.

🆕 Amazon DataZone now enhances data access governance with enforced metadata rules

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AWS News(Unofficial)

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1 year ago

Amazon SageMaker now provides new set up experience for Amazon DataZone projects https://aws.amazon.com/sagemaker/ml-governance/ now provides a new set up experience for https://aws.amazon.com/datazone/features/integrations/ projects, making it easier for customers to govern access to data and machine learning (ML) assets. With this capability, administrators can now set up Amazon DataZone projects by importing their existing authorized users, security configurations, and policies from Amazon SageMaker domains. Today, Amazon SageMaker customers use domains to organize list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud configurations. With this launch, administrators can now accelerate the process of setting up governance for data and ML assets in Amazon SageMaker. They can import users and configurations from existing SageMaker domains to Amazon DataZone projects, mapping SageMaker users to corresponding Amazon DataZone project members. This enables project members to search, discover, and consume ML and data assets within Amazon SageMaker capabilities such as Studio, Canvas, and notebooks. Also, project members can publish these assets from Amazon SageMaker to the DataZone business catalog, enabling other project members to discover and request access to them. This capability is available in all Amazon Web Services regions where Amazon SageMaker and Amazon DataZone are currently available. To get started, see the https://docs.aws.amazon.com/sagemaker/latest/dg/sm-assets-set-up.html.

Amazon SageMaker now provides new set up experience for Amazon DataZone projects

https://aws.amazon.com/sagemaker/ml-governance/ now provides a new set up experience for https://aws.amazon.com/datazone/features/integrations/ projects, making it easier for...

#AWS #AmazonSagemaker #AmazonDatazone

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1 year ago

Amazon SageMaker now provides new set up experience for Amazon DataZone projects Amazon SageMaker now provides a new set up experience for Amazon DataZone projects, making it easier for customers to govern access to data and machine learning (ML) assets. With this capability, administrators can now set up Amazon DataZone projects by importing their existing authorized users, security configurations, and policies from Amazon SageMaker domains. Today, Amazon SageMaker customers use domains to organize list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud configurations. With this launch, administrators can now accelerate the process of setting up governance for data and ML assets in Amazon SageMaker. They can import users and configurations from existing SageMaker domains to Amazon DataZone projects, mapping SageMaker users to corresponding Amazon DataZone project members. This enables project members to search, discover, and consume ML and data assets within Amazon SageMaker capabilities such as Studio, Canvas, and notebooks. Also, project members can publish these assets from Amazon SageMaker to the DataZone business catalog, enabling other project members to discover and request access to them. This capability is available in all Amazon Web Services regions where Amazon SageMaker and Amazon DataZone are currently available. To get started, see the Amazon SageMaker administrator guide.

🆕 Amazon SageMaker now provides new set up experience for Amazon DataZone projects

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1 year ago

Amazon DataZone updates pricing and removes the user-level subscription fee Today, Amazon DataZone has announced updates to its pricing, which will make the service more accessible and cost-effective for customers. Customers will no longer be charged monthly subscription fee for every configured user. Instead, Amazon DataZone now offers a pay-as-you-go model, where you are charged only for the resources you use. Additionally, DataZone has reduced the price for metadata storage from $0.417 per GB to $0.40 per GB. Finally, Amazon DataZone has also introduced free access to some of the core DataZone APIs that power the key user experiences such as creating and managing their domains, blueprints, and projects. These price updates are part of Amazon's ongoing commitment to providing flexible, transparent, and cost-effective data management and data governance capabilities to customers. Customers can now scale their usage without being constrained by per-user costs, and make the service accessible to a wider user base. These pricing changes will be applicable starting Nov 1, 2024 in all AWS Regions where Amazon DataZone is available, including: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), and South America (São Paulo). Visit Amazon DataZone’s pricing page for more details.

🆕 Amazon DataZone updates pricing and removes the user-level subscription fee

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1 year ago

Amazon DataZone now supports meaning-based Semantic search Amazon DataZone now supports meaning-based Semantic search in its business data catalog, enhancing how data users search and discover assets. With this new capability, users can search by concept and related terms, in addition to the existing keyword-based search. Amazon DataZone is a data management service for customers to catalog, discover, share, and govern data at scale across organizational boundaries with governance and access controls. As data users are looking to solve their analytics use cases, they start their journey with the search in the business data catalog to understand what data is available. With this launch, users can discover related datasets in Amazon DataZone based on the intent of the user’s query. For example, a search for “profit” now returns data assets related to sales, costs, revenue in addition to the keyword profit. This significantly improves the relevance and quality of the search results and helps support the desired analytics use case. Amazon DataZone’s semantic search feature is powered by a GenAI search engine. This search engine uses an embedded language model to generate sparse vectors which enrich assets with semantically related terms. Semantic search is available in all AWS Regions where Amazon DataZone is available. To learn more, visit Amazon DataZone and get started using the guide in documentation.

🆕 Amazon DataZone now supports meaning-based Semantic search

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1 year ago

Amazon DataZone Achieves HITRUST Certification Amazon DataZone has achieved HITRUST certification, demonstrating it meets the requirements established by the Health Information Trust Alliance Common Security Framework (HITRUST CSF) for managing sensitive health data, as required by healthcare and life sciences customers. This certification includes the testing of over 600 controls derived from multiple security frameworks such as ISO 27001 and NIST 800-53r5, providing a comprehensive set of baseline security and privacy controls. The 2024 AWS HITRUST certification is now available to AWS customers through AWS Artifact in the AWS Management Console. Customers can leverage the certification to meet applicable controls via HITRUST’s Inheritance Program as defined under the HITRUST Shared Responsibility Matrix (SRM). Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data between data producers and consumers within their organization. For more information about Amazon DataZone and how to get started, refer to our product page and review the Amazon DataZone technical documentation.

Amazon DataZone Achieves HITRUST Certification #AmazonDatazone

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Acroquest Technology | AI・データ分析・IoT・ChatGPT

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1 year ago

Amazon DataZone でデータカタログを実現する - Taste of Tech Topics はじめにこんにちは一史です。最近自動給水器を買い、ベランダで育てているバジルの水やりを自動化しました。テクノロジーは素晴らしいですね。さて、AWSにはAmazon DataZoneという組織が蓄積した膨大なデータに対して、データの発見、アクセス制御、管理を簡素化するデータ管理サービスがあります。データドリブンが重要視される昨今、今回はDataZone上にデータカタログの作成を行ってみます。は...

今回はAWSのAmazon DataZoneを使ってデータカタログを作成する方法についてブログを書きました。データドリブンなビジネスが重要視される今、DataZoneを活用して効率的にデータ管理を行う方法を詳しく解説しています。

データレイクやデータカタログの基本から、実際の設定手順までを網羅していますので、ぜひご覧ください！

👉 acro-engineer.hatenablog.com/entry/2024/0...

#AWS #AmazonDataZone #データカタログ #データ管理 #テクノロジー

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