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Decentralize LF-tag management with AWS Lake Formation

AWS Big Data

Lake Formation has added a new capability that further allows data stewards to create and manage their own Lake Formation tags (LF-tags). Lake Formation tag-based access control (LF-TBAC) is an authorization strategy that defines permissions based on attributes. In Lake Formation, these attributes are called LF-Tags.

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Introducing enhanced support for tagging, cross-account access, and network security in AWS Glue interactive sessions

AWS Big Data

This technology is enabled by the use of notebook IDEs, such as the AWS Glue Studio notebook, Amazon SageMaker Studio , or your own Jupyter notebooks. For example, you can tag each session with the name of the billable department and later run a search to find all spending associated with this department on the AWS Billing console.

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How technology is enabling Melbourne Airport’s growth

CIO Business Intelligence

Technology has a key element in that broader corporate strategy in that last year was the first time we embedded technology as part of our corporate scorecard. The team and I pulled together a technology strategy focused on enabling the corporate strategy.” All of that operational technology is supported by my team.”

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Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

AWS Big Data

With this feature, Amazon Redshift customers can now manage sharing, apply access policies centrally, and effectively scale the permission using LF-Tags. Lake Formation also provides tag-based access control (TBAC), which can be used to simplify and scale governance of data catalog objects such as databases and tables.

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How Morningstar used tag-based access controls in AWS Lake Formation to manage permissions for an Amazon Redshift data warehouse

AWS Big Data

In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshift. To enforce our access permissions, we chose Lake Formation tag-based access control (TBAC).

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Enable complex row-level security in embedded dashboards for non-provisioned users in Amazon QuickSight with OR-based tags

AWS Big Data

QuickSight Enterprise edition started supporting nested conditions within row-level security (RLS) tags where you can combine AND and OR conditions to simplify multi-tenant access patterns. Previously, QuickSight only supported the AND operator for all tags. You can do this in three simple steps: Add RLS tags to a dataset.

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Two Ways AI-Driven Smart Technologies Are Helping the Libraries

Smart Data Collective

However, many public entities are also leveraging AI technology to serve the public more efficiently. Even many libraries have started taking advantage of AI technology. Radio-frequency identification (RFID) and smart barcode technologies are changing the library’s way of working. Automated material handling.