Google BigQuery

BigQuery is a serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility.

Key Features

• Serverless: No infrastructure to manage.
• SQL: Supports standard ANSI SQL.
• Speed: Analyze petabytes of data in seconds.
• ML: Build and run ML models with SQL (BigQuery ML).

Use Cases

• Data Warehousing: Central repository for all analytical data.
• Real-time Analytics: Streaming ingestion for real-time insights.
• Data Science: Exploration and model building.

Key Concepts

• Dataset: Top-level container for tables and views.
• Slot: Unit of computational capacity.
• Partitioning/Clustering: Techniques to optimize query performance and cost.