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.
Duration 14 hours
Course Outline
Introduction to BigQuery
- BigQuery architecture and key features
- Understanding the cost model and pricing structure
- Overview of query execution and storage mechanisms
Query Optimization and Cost Reduction
- Techniques for tuning queries
- Utilizing partitioned and clustered tables
- Monitoring and analyzing query performance
- Hands-on lab: optimizing queries for cost efficiency
Data Ingestion and Transformation
- Loading data from external sources
- Leveraging Dataflow and Dataprep for ETL processes
- Implementing 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 defining ML models
- Hands-on lab: creating and training a model
Developing Predictive Models with BigQuery ML
- Training and evaluating models
- Using ML.EVALUATE and ML.PREDICT functions
- Integrating predictions into reports
- Hands-on lab: executing a predictive analytics workflow
Best Practices for Enterprise Analytics
- Governance and access control strategies
- Managing large datasets at scale
- Strategies for cost control
- Case studies of successful implementations
Summary and Next Steps
Requirements
- Foundational knowledge of SQL
- Familiarity with core data management concepts
- Experience using reporting or analytics tools
Target Audience
- Data analysts
- BI developers
- Data engineers
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.
