GitHub Copilot Adds GPT-5.2 With Long-Context and UI Generation
OpenAI unveils GPT-5.2 for GitHub Copilot, enhancing software engineering with improved long-context reasoning and UI generation, integrated with Microsoft Azure and NVIDIA.
Updates and recent posts about BigQuery..
News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()
GPT-5.2 Quietly Beats Human Experts at Knowledge Work
OpenAI releases GPT-5.2, enhancing professional tasks with improved speed and cost-effectiveness, now available for paid users in ChatGPT and via API.
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@laura_garcia shared a post, 4 months, 2 weeks ago
Software Developer, RELIANOID
RELIANOID at CII Delhi International Technology Summit 2025
16–17 December 2025 - New Delhi, India Our team continues a packed December schedule, and we’re excited to add another key event: the CII Delhi International Technology Summit 2025. Focused on “Accelerating the Techade”, this summit brings together industry, government, and research leaders to shape..
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@anjali shared a link, 4 months, 2 weeks ago
Customer Marketing Manager, Last9
OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions
OpenTelemetry proposes stability changes: stable-by-default distributions, decoupled instrumentation, and epoch releases for production deployments.
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@laura_garcia shared a post, 4 months, 2 weeks ago
Software Developer, RELIANOID
deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform
🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..
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@tairascott gave 🐾 to Helm 4 or Nelm? What's the difference , 4 months, 2 weeks ago.
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@tairascott gave 🐾 to Hidden Correlations Traditional Monitoring Misses , 4 months, 2 weeks ago.
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).
