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Đề cương khóa học
Introduction to BigQuery
- BigQuery architecture and features
- Cost model and pricing structure
- Overview of query execution and storage
Optimizing Queries and Reducing Costs
- Query tuning techniques
- 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
- Using Dataflow and Dataprep for ETL
- Materialized views and scheduled queries
- Hands-on lab: building a reporting pipeline
Introduction to BigQuery ML
- Overview of machine learning in BigQuery
- Supported model types (linear regression, logistic regression, clustering, etc.)
- SQL syntax for ML models
- Hands-on lab: creating and training a model
Building Predictive Models with BigQuery ML
- Training and evaluating models
- Using ML.EVALUATE and ML.PREDICT
- Integrating predictions into reports
- Hands-on lab: predictive analytics workflow
Best Practices for Enterprise Analytics
- Governance and access control
- Managing large datasets at scale
- Cost control strategies
- Case studies of successful implementations
Summary and Next Steps
Requirements
- Basic knowledge of SQL
- Familiarity with data management concepts
- Experience with reporting or analytics tools
Audience
- Data analysts
- BI developers
- Data engineers
14 Hours
Testimonials (2)
Đây thực sự là một khóa đào tạo tốt, được chuẩn bị và giải thích chi tiết bởi giảng viên có nhiều kinh nghiệm thực tế về GCP.
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Phản hồi với giải pháp và ứng dụng thực tế.
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