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Course Outline
BigQuery Fundamentals
- Architectural components and core capabilities
- Pricing frameworks and cost structures
- Principles of storage management and query processing
Query Optimization and Cost Management
- Techniques for query refinement
- Implementation of partitioned and clustered table schemas
- Methods for monitoring and evaluating query performance
- Practical exercise: enhancing cost efficiency through query optimization
Data Ingestion and Transformation Processes
- Importing data from external repositories
- Leveraging Dataflow and Dataprep for Extract, Transform, Load (ETL) operations
- Utilization of materialized views and automated query scheduling
- Practical exercise: constructing a reporting data pipeline
Introduction to BigQuery ML for Government Applications
- Role of machine learning within the BigQuery environment
- Supported algorithm categories, including linear and logistic regression and clustering
- SQL-based syntax for defining machine learning models
- Practical exercise: model creation and training procedures
Development of Predictive Models Using BigQuery ML
- Procedures for model training and performance evaluation
- Application of ML.EVALUATE and ML.PREDICT functions
- Integration of predictive outputs into analytical reports
- Practical exercise: executing a predictive analytics workflow
Enterprise Analytics Best Practices for Public Sector
- Governance frameworks and access control protocols
- Scalable management of large-scale datasets
- Strategies for fiscal responsibility and cost containment
- Review of successful deployment case studies
Program Conclusion and Future Directions
Requirements
- Foundational proficiency in SQL
- Understanding of core data management principles
- Practical application with reporting and analytical platforms
Target Audience
- Data analysts
- Business Intelligence (BI) developers
- Data engineers
14 Hours
Testimonials (2)
The final day which is the Machine Learning Topic
John Erick Baltazar - Globe Telecom
Course - Google BigQuery
It was a really good training course, well prepared and explained by the trainer with great hands on experience on GCP.