Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Overview of BigQuery
- BigQuery architecture and core features
- Cost structure and pricing models
- Introduction to query execution and storage mechanisms
Query Optimization and Cost Management
- Techniques for tuning queries
- Utilizing partitioned and clustered tables
- Tracking and evaluating query performance
- Practical lab: enhancing cost efficiency through query optimization
Data Ingestion and Transformation Workflows
- Importing data from external sources
- Leveraging Dataflow and Dataprep for ETL processes
- Implementing materialized views and scheduled queries
- Practical lab: constructing a comprehensive reporting pipeline
Getting Started with BigQuery ML
- Introduction to machine learning capabilities within BigQuery
- Supported model types (including linear regression, logistic regression, and clustering)
- SQL syntax specific to ML models
- Practical lab: building and training a model
Developing Predictive Models with BigQuery ML
- Training and assessing model performance
- Utilizing ML.EVALUATE and ML.PREDICT functions
- Embedding predictions into reporting dashboards
- Practical lab: executing a predictive analytics workflow
Enterprise Analytics Best Practices
- Governance and access control strategies
- Handling large-scale datasets effectively
- Strategies for cost containment
- Review of successful implementation case studies
Recap and Future Directions
Requirements
- Foundational understanding of SQL
- Proficiency with core data management principles
- Prior exposure to reporting or analytics platforms
Target Audience
- Data analysts
- 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.
