Join us

ContentUpdates and recent posts about BigQuery..
 Activity
@tonybrain-dotcom started using tool Bootstrap Table , 2 days, 15 hours ago.
 Activity
@tonybrain-dotcom started using tool Bootstrap , 2 days, 15 hours ago.
 Activity
@tonybrain-dotcom started using tool Angular Material , 2 days, 15 hours ago.
 Activity
@tonybrain-dotcom started using tool Angular , 2 days, 15 hours ago.
 Activity
@tonybrain-dotcom started using tool All in One SEO Pack , 2 days, 15 hours ago.
Story
@idjuric660 shared a post, 2 days, 17 hours ago
Technical Content Writer, Mailtrap

5 Best Email API for PHP Developers Tested & Compared: Here’s What I Found

The best email APIs for PHP developers are Mailtrap, SendGrid, Mailgun, Amazon SES, and Postmark. I researched and tested each of these services with the help of Mailtrap’s deliverability experts and security team. My goal was to identifythe best email APIs for PHP projectsby looking at real-world i..

Story
@laura_garcia shared a post, 2 days, 21 hours ago
Software Developer, RELIANOID

AI-driven cyberthreats previsions

At the end of last year, we warned that AI-driven cyberthreats would accelerate industrial risk in 2026. Just a few months into the year, that prediction is already proving accurate. We’re seeing clear signals that attackers are increasingly leveraging Artificial Intelligence to: - Automate reconnai..

 Activity
@fidelissecurity started using tool Cybersource , 3 days, 18 hours ago.
Story
@laura_garcia shared a post, 3 days, 22 hours ago
Software Developer, RELIANOID

𝗡𝗜𝗦𝟮 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁

Alignment for RELIANOID Load Balancer & Organizational Operations At RELIANOID, we recognize the strategic importance of the EU NIS2 Directive in strengthening cybersecurity resilience across Europe. As an advanced load balancing and application delivery provider, RELIANOID qualifies as an Important..

nis2 compliance RELIANOID
 Activity
@craitrix created an organization Craitrix , 4 days ago.
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).