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 Duration 28 hours

Course Outline

Introduction

  • Overview of Google BigQuery

Initial Setup

  • Configuring a Google Cloud account
  • Exploring the BigQuery Web UI
  • Creating and managing datasets and tables
  • Populating BigQuery with data
  • Executing basic SQL queries in BigQuery

SQL Querying in BigQuery

  • Advanced SQL querying methods
  • Data aggregation using GROUP BY
  • Filtering and sorting data efficiently
  • Utilizing date and time functions
  • Joining multiple tables effectively
  • Employing subqueries and window functions

Advanced BigQuery Capabilities

  • Data export procedures from BigQuery
  • Application of user-defined functions (UDFs)
  • Scheduling and managing queries
  • Fundamentals of BigQuery scripting
  • Processing arrays and structs
  • Handling JSON data structures

BigQuery Performance Optimization

  • Techniques for enhancing query performance
  • Partitioning and clustering tables for efficiency
  • Analyzing the Query Execution Plan
  • Debugging and troubleshooting complex queries
  • Best practices for cost management and billing
  • Security protocols and access control within BigQuery

Advanced Topics and Ecosystem Integration

  • Real-time analysis of streaming data
  • Connecting BigQuery with Google Data Studio
  • Introduction to BigQuery ML for machine learning tasks
  • Developing and deploying ML models via BigQuery ML
  • Integrating BigQuery with data lake architectures

Conclusion and Future Directions

Requirements

  • A foundational knowledge of databases and SQL concepts

Target Audience

  • Data Analysts
  • Database Administrators

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