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Course Outline

Overview

  • Google BigQuery Platform Summary

Initial Setup

  • Establishing a Google Cloud Account
  • Navigation of the BigQuery Web Interface
  • Creation and Administration of Datasets and Tables
  • Data Ingestion into BigQuery
  • Fundamental SQL Querying in BigQuery

SQL Operations in BigQuery

  • Advanced SQL Methodologies
  • Data Aggregation via GROUP BY
  • Data Filtering and Sorting Protocols
  • Implementation of Date and Time Functions
  • Merging Multiple Tables
  • Utilization of Subqueries and Window Functions

Advanced BigQuery Capabilities

  • Data Export Procedures
  • Deployment of User-Defined Functions (UDFs)
  • Management and Scheduling of Queries
  • Foundations of BigQuery Scripting
  • Handling Arrays and Structs
  • Processing JSON Data Formats

BigQuery Optimization Strategies

  • Techniques for Enhancing Query Performance
  • Table Partitioning and Clustering
  • Analyzing the Query Execution Plan
  • Query Troubleshooting and Debugging
  • Cost Management and Billing Best Practices
  • Security Protocols and Access Control Measures

Advanced Topics and System Integration

  • Real-Time Data Analysis via Streaming Ingestion
  • Integration with Google Data Studio for Reporting
  • Introduction to BigQuery ML for Machine Learning Applications
  • Development and Deployment of Machine Learning Models Using BigQuery ML
  • Data Lake Integration with BigQuery

Conclusion and Future Directions

Requirements

  • Fundamental knowledge of database structures and SQL principles

Target Audience

  • Data analysts
  • Database administrators
 28 Hours

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