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
Introduction to BigQuery
- BigQuery architecture and key features
- Cost models and pricing structures
- Overview of query execution and storage mechanisms
Query Optimization and Cost Reduction
- Techniques for query tuning
- Utilization of partitioned and clustered tables
- Monitoring and analyzing query performance
- Hands-on lab: optimizing queries for cost efficiency
Data Ingestion and Transformation
- Ingesting data from external sources
- Employing Dataflow and Dataprep for ETL processes
- Use of materialized views and scheduled queries
- Hands-on lab: constructing a reporting pipeline
Introduction to BigQuery ML
- Overview of machine learning capabilities in BigQuery
- Supported model types (linear regression, logistic regression, clustering, etc.)
- SQL syntax for ML models
- Hands-on lab: creating and training a model
Developing Predictive Models with BigQuery ML
- Training and evaluating models
- Utilizing ML.EVALUATE and ML.PREDICT
- Integrating predictions into reports
- Hands-on lab: predictive analytics workflow
Best Practices for Enterprise Analytics
- Governance and access control measures
- Managing large datasets at scale
- Strategies for cost control
- Case studies of successful implementations
Summary and Next Steps
Requirements
- Fundamental understanding of SQL
- Familiarity with data management principles
- Prior experience with reporting or analytics tools
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.