GCP Study Hub

A practical comparison of Memcached and Redis on Google Cloud Platform, examining scaling, availability, data structures, and performance to help you choose the right caching solution.

Choosing between direct Pub/Sub to BigQuery ingestion and routing through Dataflow depends on your transformation needs, not just technical preferences.

A comprehensive guide to understanding BigQuery's compute cost model, including how you're charged for queries, how to estimate costs before running queries, and strategies for optimizing your Google Cloud data warehouse spending.

Understanding the difference between Google-managed and user-managed service accounts is fundamental to controlling access in Google Cloud projects.

Understanding Data Catalog tag visibility and IAM roles is critical for securing metadata in Google Cloud. This guide explains the trade-offs between broad and granular access patterns.

A comprehensive guide to understanding BigQuery's hierarchical database structure, including datasets, tables, schemas, and DDL operations for managing your data warehouse.

A complete tutorial on migrating Hadoop data to Dataproc, including storage strategy decisions, Cloud Storage Connector configuration, and when to use HDFS versus GCS.

A comprehensive guide to understanding ACID properties in database systems, explaining the trade-offs between strict ACID guarantees and performance, with practical examples and Google Cloud implementation patterns.

Understanding the difference between standard BigQuery views and authorized views is essential for implementing secure, granular data access controls in your data warehouse.

Many teams struggle with unexpectedly high BigQuery bills. This article reveals three common query patterns that unnecessarily inflate costs and shows you exactly how to fix them.