GCP Project ID vs Number: Key Differences Explained Understanding the differences between Project ID, Project Number, and Project Name is essential for working effectively with Google Cloud Platform.
Dual-Region vs Multi-Region Storage in GCS Explained Understanding the differences between dual-region and multi-region storage in Google Cloud Storage is important for data protection. This article explains how each option affects availability, RPO, and when the built-in replication might not be enough.
Horizontal vs Vertical Scaling: A Complete Guide Understand the critical differences between horizontal and vertical scaling, including when to add more servers versus upgrading existing ones, and how Google Cloud handles both approaches automatically.
When to Use Pull Subscriptions in Google Cloud Pub/Sub Pull subscriptions give you precise control over message retrieval in Google Cloud Pub/Sub. Learn when they're the right choice for your workload versus push subscriptions.
BigQuery Partition Keys: Ingestion Time vs Column Values Master the critical decision between ingestion-time and column-based partitioning in BigQuery to optimize query performance and control costs.
Surrogate Keys vs Natural Keys in BigQuery Datasets Understand the critical trade-offs between surrogate keys and natural keys in BigQuery datasets, with practical examples and decision frameworks.
BigQuery Query Cost Estimation: Dry Runs & UI Previews Master BigQuery query cost estimation techniques with dry runs and UI previews to predict and control data processing costs before running queries on Google Cloud.
GCP Permissions: Granular Access Control Explained Understanding GCP permissions is fundamental to securing your Google Cloud environment. This guide explores the trade-offs between granular permission management and role-based access control.
How to Update a Dataflow Pipeline Without Stopping This tutorial walks you through updating a running Google Cloud Dataflow pipeline without stopping it, covering the Update Job method, compatibility checks, and transform mapping for smooth transitions.
Data Marts vs Data Warehouse in BigQuery A practical guide to choosing between building multiple data marts or maintaining one large data warehouse in BigQuery, with theoretical foundations and real-world implementation considerations.