This guide provides an intro to Google BigQuery. It explains the separation of storage and compute, the benefits of columnar storage, and practical optimization techniques like partitioning and clustering to manage large-scale datasets efficiently.
A comparative guide for data professionals navigating the structural differences between Google Cloud Platform (GCP) and Amazon Web Services (AWS). It focuses specifically on how these platforms organize data within Data Lakes and Data Warehouses, emphasizing the philosophical differences between GCP’s 'Project-centric' model and AWS’s 'Account-centric' model.