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1. Introduction to Google BigQuery
Architecture & Components
Explained
Presented by: [Your Name]
Date: [Today’s Date]

2. What is BigQuery?
• - Fully-managed, serverless data warehouse
• - Super-fast SQL queries using Dremel
• - Analyzes petabytes of data
• - Scalable, secure, and highly available

3. BigQuery Architecture Overview
• Client Interfaces → BigQuery Services →
Google Cloud Storage
• BigQuery Services:
• - Query Execution Engine
• - Storage System

4. BigQuery Components
• 1. Client Interfaces: Console, CLI, API, Libraries
• 2. Query Engine: Dremel for distributed SQL
• 3. Storage: Colossus for columnar data
• 4. Networking: Jupiter fabric for fast access

5. Internal Query Execution Flow
• SQL Query → SQL Parser → Logical Plan →
Slot Manager → Execution Tree (Dremel) →
Results

6. Storage Mechanism
• - Columnar storage
• - Partitioning, Clustering, Time-travel
• - Colossus based architecture

7. Compute Layer – Dremel Engine
• - Distributes queries across thousands of
workers
• - Tree-based aggregation
• - Executes sub-queries in parallel
• - Slot-based workload management

8. Key Features
• - Serverless
• - Real-time analytics
• - Federated queries
• - BI Engine Integration
• - IAM & VPC SC Security

9. Partitioning & Clustering
• - Partitioning: DATE or INTEGER range
• - Clustering: Sorted column-based
optimization
• - Improves query performance and reduces
cost

10. Billing Model
• - Storage: $0.02/GB (active), $0.01/GB (long-
term)
• - Query: $5/TB scanned (on-demand), Flat-
rate slots

11. Integration with Other GCP
Services
• - Dataflow (ETL)
• - Pub/Sub (streaming)
• - Looker/Data Studio (BI)
• - Cloud Functions (event triggers)

12. Use Cases
• - Marketing analytics
• - IoT data processing
• - Financial reporting
• - Fraud detection
• - Customer 360 insights

13. Performance Optimization Tips
• - Use partitioning/clustering
• - Avoid SELECT *
• - Use approx functions
• - Materialize intermediates
• - Monitor slot usage

14. Summary
• - Serverless and managed
• - High performance with Dremel
• - Colossus for scalable storage
• - Secure, cost-efficient, and integratable

15. Q&A
• Thank you!
• Questions?