GCP Study Hub

Master the key differences between BigQuery partitioning and clustering to optimize query performance and reduce costs in your data warehouse.

Google Cloud Dataplex is an intelligent data fabric that unifies data management across lakes, warehouses, and databases while enabling data mesh architecture with decentralized ownership and centralized governance.

Understanding the difference between active and long-term storage pricing in BigQuery can dramatically reduce your data warehouse costs while maintaining query performance.

Service accounts and user accounts serve fundamentally different purposes in Google Cloud. This guide explains how each works and when to use them for secure, scalable cloud operations.

Explore real-world Analytics Hub use cases across healthcare, finance, and retail industries. Learn how organizations use Google Cloud's data exchange platform for secure, controlled data sharing.

When a BigQuery job fails, knowing where to look first saves hours of debugging time. This guide explains why jobs explorer is your essential starting point for diagnosing failures across ingests, ad-hoc queries, and scheduled queries.

Understand how Google Cloud Pub/Sub enables multiple publishers and subscribers to interact with a single topic, creating flexible and scalable messaging architectures.

Column-level security in BigQuery lets you control access to specific columns within tables, protecting sensitive information while maintaining broader data accessibility.

Understanding the trade-offs between row-level security and authorized views in BigQuery helps you design secure, performant data access patterns that scale with your organization's needs.

Google Cloud is transitioning Data Catalog functionality into Dataplex, consolidating metadata management and data discovery into a unified platform. This article explains both services and what this consolidation means for your data architecture.