Understanding Google Cloud VPC Subnets and CIDR Notation A comprehensive guide to Google Cloud VPC subnets, explaining how regional IP ranges work with CIDR notation, subnet creation rules, and practical implementation considerations.
Cloud Composer Architecture: Airflow, GKE, and GCS Understanding Cloud Composer architecture is essential for orchestrating data workflows on GCP. This article explains how Airflow, GKE, and Cloud Storage work together to provide a managed workflow orchestration service.
Database Normalization: Trade-offs and Design Choices A practical guide to understanding database normalization trade-offs, exploring when to reduce redundancy through related tables and when denormalization makes more sense for your workload.
CI vs CD: When to Use Each in Your Pipeline Many teams conflate continuous integration and continuous delivery, treating them as a single concept. This article explains what each solves independently and why understanding the distinction matters for building effective pipelines.
Cloud Data Fusion vs Traditional ETL: A Decision Guide Understand the real differences between Cloud Data Fusion and traditional ETL tools, and learn when no-code data integration makes sense for your Google Cloud projects.
BigQuery Dataset Configuration: Location & Encryption A comprehensive guide to configuring BigQuery datasets, covering location choices, automatic expiration settings, and encryption options essential for the Professional Data Engineer certification.
Batch vs Stream Processing: A Data Engineer's Guide Understanding when to use batch versus stream processing is fundamental to building effective data systems. This guide breaks down the real trade-offs between efficiency and real-time insights.
Cloud Storage vs Firestore: Choosing the Right Solution Understand the key differences between Cloud Storage and Firestore, two Google Cloud storage solutions that serve fundamentally different purposes with distinct trade-offs.
Google Cloud Dataproc: Managed Hadoop & Spark Overview A comprehensive guide to Google Cloud Dataproc, explaining how this managed service simplifies Apache Hadoop and Spark deployment for big data processing on GCP.
BigQuery Dataset Location: Regional vs Multiregional A practical guide to choosing between regional and multiregional BigQuery dataset locations, examining the trade-offs across performance, cost, disaster recovery, and compliance requirements.