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All news with #data governance tag

95 articles · page 2 of 5

Cloudflare confirms 1.1.1.1 resolver privacy in 2024 review

🔒 An independent Big 4 accounting firm has completed a fresh privacy examination of Cloudflare's 1.1.1.1 public DNS resolver and confirmed that its core privacy commitments remain in force. The report reaffirms that Cloudflare does not sell or share resolver users’ personal data or use it for advertising, and that source IP addresses are anonymized and deleted within 25 hours. The review also notes that up to 0.05% of randomly sampled packets may be inspected solely for network troubleshooting and attack mitigation, and clarifies that the examination scope focused exclusively on privacy assurances.
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Managing digital assets after death: risks and guidance

🔒 Digital assets left after death — from emails and social media to passwords and crypto wallets — can complicate an already traumatic time for families and create new fraud opportunities. The legal landscape is fragmented: RUFADAA in the US, a proposed UK bill and ELI efforts in Europe offer partial solutions, but platform policies remain inconsistent. Practical steps include creating a digital inventory, appointing legacy contacts (e.g., Facebook/Instagram Legacy Contact, Google Inactive Account Manager, Apple Digital Legacy) and using emergency access features in password managers. Also file tax returns, place deceased alerts on credit reports, cancel subscriptions, and be wary of scams targeting grieving relatives.
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OpenAI launches ChatGPT Library for storing personal files

📚 OpenAI has begun rolling out a new ChatGPT Library feature that stores personal files and images in its cloud so they can be referenced in future chats. The feature is available to Plus, Pro, and Business subscribers worldwide except in the European Economic Area, Switzerland, and the United Kingdom. Files uploaded in chats or via the composer are saved by default to a secure, dedicated location and remain in the Library until manually deleted; deleting a chat does not remove the stored file.
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AWS DMS Schema Conversion with GenAI Expands Regions

📢 AWS Database Migration Service (DMS) Schema Conversion with GenAI is now available in nine additional AWS Regions, enabling local processing and helping meet data residency requirements. The feature leverages Amazon Bedrock foundation models — including Claude 3.5 Sonnet v2, Claude 3.7 Sonnet, and Claude Sonnet 4 — to automate schema and code conversion. It converts schemas and code from Oracle, SQL Server, MySQL, PostgreSQL, and Sybase to Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL, reducing manual effort and accelerating migrations. DMS Schema Conversion is available at no additional charge and can be accessed through the AWS Management Console or CLI.
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Amazon Redshift: Federated Permissions via IAM IdC

🔐 Amazon Redshift now supports federated permissions with AWS IAM Identity Center (IdC) across multiple AWS Regions, letting you extend IdC from a primary Region to additional Regions for improved proximity-based performance and resilience. In those Regions you can create Redshift and Lake Formation Identity Center applications without replicating identities, so existing workforce identities can query warehouses while row-, column-level and masking controls continue to apply automatically. Users benefit from single sign-on access via Amazon QuickSight, the Redshift Query Editor, or third-party SQL tools, simplifying access and compliance across regions.
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FabCon & SQLCon 2026: Unifying Databases and Fabric

🧩 Microsoft outlined a strategy at FabCon and SQLCon 2026 to converge its database portfolio and Microsoft Fabric into a single, unified data platform. Key highlights include the new Database Hub (early access) for unified estate management across Azure SQL, Cosmos DB, PostgreSQL, MySQL, SQL Server via Arc, and Fabric Databases. The company also showcased enhancements to OneLake, Runtime 2.0, Fabric IQ, agent experiences, migration assistants, and a database savings plan that can reduce costs up to 35% for eligible scenarios.
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Amazon SageMaker Unified Studio Adds Custom Filters

🔎 Amazon SageMaker Unified Studio now supports custom metadata search filters, enabling teams to narrow catalog results using organization-specific attributes like business region, data classification, or study name. Filters accept string fields with a contains operator and numeric fields (Integer, Long) with equals, greater than, and less than operators. Users can also filter by asset name, description, and date range, combine multiple filters, and retain selections across browser sessions; the feature is available in all AWS Regions where Unified Studio is supported.
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Microsoft Purview innovations for Fabric governance

🔒 Microsoft announced new Purview innovations for Fabric to help organizations discover sensitive data risks, prevent oversharing, and improve governance and data quality across their data estate. Updates include general availability of DLP policies for Fabric Warehouses and KQL/SQL DBs, Insider Risk Management for lakehouses, and preview capabilities for Copilots and Agents. The Unified Catalog also gains publication workflows and data quality checks for ungoverned assets to better prepare trusted data for AI.
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AWS Glue zero-ETL adds configurable CDC for DynamoDB

AWS Glue zero-ETL now supports configurable change data capture (CDC) refresh intervals and on-demand ingestion for Amazon DynamoDB sources. You can set refresh windows from 15 minutes up to 6 days, letting teams balance data freshness and cost, and trigger immediate ingestion for urgent updates. These enhancements align DynamoDB zero-ETL integrations with SaaS sources such as Salesforce, SAP, and ServiceNow. The capabilities are available today in all regions where zero-ETL is supported.
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Google Cloud and DigitalRoute: Reusable Data Pipelines

📡 Google Cloud and DigitalRoute are delivering reusable, cloud-native data pipelines that turn diverse telecom telemetry into AI-ready datasets. Running DigitalRoute’s Usage Engine Private Edition on GKE, the solution normalizes proprietary formats at edge and core, filters noise, and routes data into Spanner for real-time digital twins and BigQuery for large-scale analytics and training with Vertex AI. The result is consistent, contextualized subscriber traces that accelerate production-grade autonomous network use cases.
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SageMaker Unified Studio Syncs Catalog Metadata to Partners

🔁 Amazon SageMaker Unified Studio now synchronizes catalog metadata and context with Atlan, Collibra, and Alation, aligning projects, assets, descriptions, glossary terms, and hierarchies across platforms. Collibra supports bidirectional synchronization and can manage SageMaker Unified Studio data access requests, while Atlan and Alation ingest metadata from SageMaker with additional enhancements planned. The Collibra integration is provided as an open-source solution on GitHub, and setup is performed by establishing connections from each partner to SageMaker Unified Studio.
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Amazon SageMaker Unified Studio Adds AWS Glue 5.1 Support

🚀 Amazon SageMaker Unified Studio now supports AWS Glue 5.1 for Visual ETL, notebook, and code-based data processing jobs. With Glue 5.1 you can run on Apache Spark 3.5.6 with Python 3.11 and Scala 2.12.18, and use updated open table formats including Apache Iceberg 1.10.0, Apache Hudi 1.0.2, and Delta Lake 3.3.2. Select Glue 5.1 from the job version dropdown to apply the runtime across Visual ETL, notebooks, and code jobs.
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Modernizing Enterprise Data Centers for a Hybrid Future

🔄 Enterprises are reimagining data centers as they modernize infrastructure to balance on‑premises, public cloud and edge deployments. Many are repatriating workloads and evaluating hybrid or private cloud models to retain control, meet data‑protection requirements and improve efficiency. Simultaneously, AI inference, IoT and edge compute impose new demands on latency, location and power delivery. Rising energy prices and geopolitics are increasingly central to site selection and long‑term capacity planning.
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Samsung to Stop Collecting Texans' TV Viewing Data by Consent

🔒 Samsung and the State of Texas have settled a dispute over allegations that its smart TVs used Automated Content Recognition (ACR) to collect viewing data without users' express consent. Under the agreement, Samsung must halt collection or processing of ACR viewing data from Texas consumers unless they give clear, affirmative consent, and it will update TVs with clearer privacy disclosures and consent screens. Texas AG Ken Paxton said the settlement compels clear, conspicuous notices; Samsung maintains it did not spy on consumers but agreed to strengthen privacy notices.
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PayPal Completes Historic Migration to BigQuery for AI

🚀 PayPal completed a multi-year, large-scale migration of more than 300 petabytes of analytics data into BigQuery on Google Cloud to create a unified data foundation for generative AI. The initiative consolidated disparate platforms — including Teradata, Hadoop, Redshift, and Snowflake — and reduced vendor complexity. PayPal automated migration tasks, used live dashboards, and integrated FinOps to maintain zero business downtime while enabling faster queries and much fresher data for AI model training.
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Ab Initio + Google Cloud: Data Fabric to Power Agentic AI

🔗 Ab Initio and Google Cloud announce integrations of data connectors, metadata connectors, and agent capabilities to help enterprises build agentic AI across hybrid environments. The integration federates distributed data into a unified layer and extends Dataplex with bi-directional metadata exchange, lineage, and active metadata. Together with BigQuery and Gemini, this enables explainable, auditable agents that operate on trustworthy, multi-cloud data.
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Ab Initio and Google Cloud Enable Agentic AI Data Fabric

🔗 Google Cloud and Ab Initio announced an integrated suite of data and metadata connectors, agents, and governance capabilities to give Gemini and other AI models reliable access to enterprise data across hybrid environments. The partnership federates over 500 sources and supplies field-level lineage from 100+ extractors to populate Dataplex and BigQuery with AI-ready context. This unified metadata hub aims to support explainable, auditable agentic AI while preserving distributed data ownership and compliance.
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AWS Glue 5.1 Expands to 18 More AWS Regions Globally

🚀 AWS Glue 5.1 is now available in eighteen additional AWS Regions, bringing the service to thirty-three Regions worldwide. The release upgrades core engines to Apache Spark 3.5.6, Python 3.11, and Scala 2.12.18, and refreshes support for open table formats including Apache Hudi, Apache Iceberg, and Delta Lake. It introduces Iceberg format v3.0 features, deletion vectors, multi-argument transforms, and row lineage tracking, and extends AWS Lake Formation fine-grained access control to write operations as well as full-table access control for Hudi and Delta tables. Customers can begin using the update via APIs, CLI, SDKs, Glue Studio, or SageMaker Unified Studio and should consult the documentation for migration and configuration guidance.
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Apache Spark Lineage Now in SageMaker Unified Studio

🔍 Amazon SageMaker now provides Data Lineage for Apache Spark jobs run on Amazon EMR and AWS Glue within IDC-based SageMaker Unified Studio domains. The feature captures schema and column-level transformations from EMR-EC2, EMR-Serverless, EMR-EKS, and Glue, and makes lineage explorable as a visual graph or queryable via APIs. Teams can compare transformation history across Spark jobs to investigate regressions, trace root causes, and assess impact. Spark lineage is available in all existing SageMaker Unified Studio regions.
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Manufacturing Reimagined: Tech Trends and Impact in 2026

🏭 This Enterprise Spotlight outlines how emerging technologies — from AI and extended reality to edge computing and digital twins — are reshaping manufacturing operations, workforce interactions, and product lifecycles. The February 2026 issue brings together editorial insight, case studies, and practical frameworks to guide CIOs and plant leaders through adoption and scaling. It emphasizes data governance, interoperability, and measurable ROI as critical enablers for responsible transformation.
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