Data Warehousing with BigQuery Training
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Data Warehousing with BigQuery

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Master data warehousing with Google BigQuery. Learn to design, implement, and optimize scalable analytics solutions for data-driven decision-making.

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Overview

The Data Warehousing with BigQuery training provides a comprehensive understanding of building and managing data warehouses using Google BigQuery. This course covers core topics like schema design, data ingestion, query optimization, and cost management. Through hands-on labs, real-world projects, and expert-led instruction, you’ll gain practical experience in creating scalable, secure, and efficient data warehouse solutions for analytics and reporting. Perfect for data professionals aiming to leverage Google Cloud’s powerful analytics platform to drive business insights.

Key Features

  • Query Optimization
  • Integration Skills
  • Real-World Use Cases
  • Comprehensive Curriculum

Curriculum

Study Plan

1Module 1: BigQuery Architecture Fundamentals
  • Introduction 
  • BigQuery Core Infrastructure
  • BigQuery Storage
  • BigQuery Query Processing
  • BigQuery Data Shuffling 
2Module 2: Storage and Schema Optimizations
  • BigQuery Storage
  • Partitioning and Clustering
  • Nested and Repeated Fields 
  • ARRAY and STRUCT syntax
  • Best Practices
3Module 3: Ingesting Data
  • Data Ingestion Options 
  • Batch Ingestion
  • Streaming Ingestion 
  • Legacy Streaming API
  • BigQuery Storage Write API
  • Query Materialization
  • Query External Data Sources
  • Data Transfer Service
4Module 4: Changing Data
  • Managing Change in Data Warehouses 
  • Handling Slowly Changing Dimensions (SCD)
  • DML statements
  • DML Best Practices and Common Issues
5Module 5: Improving Read Performance
  • BigQuery’s Cache
  • Materialized Views
  • BI Engine
  • High Throughput Reads
  • BigQuery Storage Read API 
6Module 6: Optimizing and Troubleshooting Queries
  • Simple Query Execution
  • SELECTs and Aggregation
  • JOINs and Skewed JOINs
  • Filtering and Ordering
  • Best Practices for Functions 
7Module 7: Workload Management and Pricing
  • BigQuery Slots 
  • Pricing Models and Estimates 
  • Slot Reservations 
  • Controlling Costs 
8Module 8: Logging and Monitoring
  • Cloud Monitoring
  • BigQuery Admin Panel
  • Cloud Audit Logs
  • INFORMATION_SCHEMA
  • Query Path and Common Errors
9Module 9: Security in BigQuery
  • Secure Resources with IAM 
  • Authorized Views
  • Secure Data with Classification
  • Encryption
  • Data Discovery and Governance
10Module 10: Automating Workloads
  • Scheduling Queries
  • Scripting
  • Stored Procedures
  • Integration with Big Data Products 
11Module 11: Machine Learning in BigQuery
  • Introduction to BigQuery ML 
  • How to Make Predictions with BigQuery ML
  • How to Build and Deploy a Recommendation System with BigQuery ML
  • How to Build and Deploy a Demand Forecasting Solution with BigQuery ML
  • Time-Series Models with BigQuery ML 
  • BigQuery ML Explainability 

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