Updates and recent posts about BigQuery..

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@mashka shared a link, 2 months, 2 weeks ago

Paid Acquisition and Growth Marketing, xygeni

Join our Upcomping Online Podcast Episode on AI Unleashed: Navigating Emerging Threats and Defenses in AppSec

AI is transforming Application Security, powering both new attacks and smarter defenses.
Join us to explore how AI-driven threats, such as polymorphic malware, prompt injections, and model tampering, are reshaping Application Security (AppSec) and how to defend against them.

📅 Date: October 22nd
⏰ Time: 16:00 (CEST) / 10:00 (EDT)
🎙 Speakers:

Atanas Nikolov — DevSecOps Expert @ RNDC Bulgaria

Jesús Cuadrado — CPO @ Xygeni

🔗 Register here to join live → https://www.linkedin.com/events/aiunleashed-navigatingemergingt7382047771396104192/

Why Attend:
💠 Learn the latest AI-powered AppSec threats
💠 Discover practical AI-driven defense techniques
💠 Strengthen your AppSec strategy for the AI era

Join us!

SafeDev Talk - AI Unleashed Navigating Threats & Defenses (1)

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@root gave 🐾 to Microsoft Launches Azure Kubernetes Service Automatic for Developers , 2 months, 2 weeks ago.

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@brooksamybrook gave 🐾 to Microsoft Launches Azure Kubernetes Service Automatic for Developers , 2 months, 2 weeks ago.

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@brooksamybrook gave 🐾 to Security and compliance are not optional—they’re the backbone of trust. , 2 months, 2 weeks ago.

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@laura_garcia shared a post, 2 months, 2 weeks ago

Software Developer, RELIANOID

Security and compliance are not optional—they’re the backbone of trust.

At RELIANOID, our operations and load balancing platform are fully aligned with the ISO/IEC 27001:2022 framework, ensuring that every policy, control, and process we implement supports the same rigorous standards as certified environments. From governance and risk management to encryption, access co..

News FAUN.dev() Team

@devopslinks shared an update, 2 months, 2 weeks ago

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Microsoft Launches Azure Kubernetes Service Automatic for Developers

#aks #autosca... #Automat... #Microso... #kuberne...

Microsoft announces Azure Kubernetes Service Automatic, a fully-managed Kubernetes offering that reduces operational overhead and integrates security and reliability features by default.

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@devopslinks shared an update, 2 months, 2 weeks ago

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GitHub Introduces Post-Quantum Secure SSH Key Exchange Algorithm

#SSH #post-qu... #quantum... #git #github

GitHub enabled a post-quantum secure SSH key exchange algorithm on September 17, 2025, to protect against future quantum decryption threats.

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@kala shared an update, 2 months, 2 weeks ago

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Microsoft Launches Open-Source Agent Framework for AI Development

#microso... #AI agen... #open-so... #semanti... #orchest...

Microsoft unveils the open-source Agent Framework to streamline AI agent development, integrating Semantic Kernel and AutoGen for enhanced accessibility and stability.

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@kaptain shared an update, 2 months, 2 weeks ago

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Alpine Linux 3.23 Adopts /usr-Merged File System Layout

#/usr-me... #alpine ... #symboli... #central... #reduced...

Alpine Linux 3.23 will transition to a /usr-merged file system layout, centralizing executables and libraries to reduce maintenance and improve containerization.

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@kala shared an update, 2 months, 2 weeks ago

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OpenAI Launches AgentKit: Streamline Agent Development for Enterprises

#evals f... #agentki... #agent b... #connect... #chatkit

OpenAI introduces AgentKit, a tool suite to streamline agent development for enterprises, enhancing efficiency and collaboration.

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).

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