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

AWS Big Data

In this post, we discuss the following new management features recently added and how can they give you more control over the configurations and security of your AWS Glue interactive sessions: Tags magic – You can use this new cell magic to tag the session for administration or billing purposes. Choose Create connection.

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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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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant. Data with this secured data classification is stored in encrypted form both in the data warehouse and in their data lake. Only users with required permissions are allowed to access data in clear text.

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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

challenges, enabling efficient, secure, and next-level AI-powered operations. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc. Data privacy and security. This creates barriers to Industry 4.0

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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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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Due to the security requirements of different organizations, they need to manage fine-grained access control for the analysts through Lake Formation. Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning. In Lake Formation, these attributes are called LF-Tags.

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Metadata Management and Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. This allows the organization to comply with government regulations and internal security policies.