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Course Outline
Overview
- Google BigQuery Platform Summary
Initial Setup
- Establishing a Google Cloud Account
- Navigation of the BigQuery Web Interface
- Creation and Administration of Datasets and Tables
- Data Ingestion into BigQuery
- Fundamental SQL Querying in BigQuery
SQL Operations in BigQuery
- Advanced SQL Methodologies
- Data Aggregation via GROUP BY
- Data Filtering and Sorting Protocols
- Implementation of Date and Time Functions
- Merging Multiple Tables
- Utilization of Subqueries and Window Functions
Advanced BigQuery Capabilities
- Data Export Procedures
- Deployment of User-Defined Functions (UDFs)
- Management and Scheduling of Queries
- Foundations of BigQuery Scripting
- Handling Arrays and Structs
- Processing JSON Data Formats
BigQuery Optimization Strategies
- Techniques for Enhancing Query Performance
- Table Partitioning and Clustering
- Analyzing the Query Execution Plan
- Query Troubleshooting and Debugging
- Cost Management and Billing Best Practices
- Security Protocols and Access Control Measures
Advanced Topics and System Integration
- Real-Time Data Analysis via Streaming Ingestion
- Integration with Google Data Studio for Reporting
- Introduction to BigQuery ML for Machine Learning Applications
- Development and Deployment of Machine Learning Models Using BigQuery ML
- Data Lake Integration with BigQuery
Conclusion and Future Directions
Requirements
- Fundamental knowledge of database structures and SQL principles
Target Audience
- Data analysts
- Database administrators
28 Hours
Testimonials (2)
The final day which is the Machine Learning Topic
John Erick Baltazar - Globe Telecom
Course - Google BigQuery
The scheduling of every topic and the breaks inserted it helps in digesting the information specially to the newbie to the topic