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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
Testimonials (2)
The final day which is the Machine Learning Topic
John Erick Baltazar - Globe Telecom
Course - Google BigQuery
The scheduling of every topic and the breaks inserted it helps in digesting the information specially to the newbie to the topic