Join us

ContentUpdates and recent posts about BigQuery..
 Activity
@cmndrsp0ck started using tool Python , 11 hours, 41 minutes ago.
 Activity
@cmndrsp0ck started using tool Kubernetes , 11 hours, 41 minutes ago.
 Activity
@cmndrsp0ck started using tool Go , 11 hours, 41 minutes ago.
 Activity
@cmndrsp0ck started using tool GNU/Linux , 11 hours, 41 minutes ago.
 Activity
@cmndrsp0ck started using tool GitLab CI/CD , 11 hours, 41 minutes ago.
 Activity
@cmndrsp0ck started using tool Docker , 11 hours, 41 minutes ago.
Story
@laura_garcia shared a post, 16 hours ago
Software Developer, RELIANOID

The UK raises the bar on digital security

With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..

Story Palark Team
@shurup shared a post, 16 hours ago
@palark

New CNCF Sandbox projects in 2025: From Podman to CloudNativePG

Kubernetes

Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..

CNCF Sandbox projects in January 2025
Story
@sancharini shared a post, 21 hours ago

CI Testing Best Practices for Reliable and Fast Builds

As software teams adopt continuous integration, build speed and reliability become critical success factors. CI testing plays a central role in ensuring that every code change is validated quickly and consistently before it moves further down the delivery pipeline. Without clear practices, however, ..

 Activity
@qballscholar started using tool WordPress , 1 day, 7 hours 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).