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Course Outline
Introduction to BigQuery
- Overview of BigQuery architecture and features for government use
- Detailed explanation of the cost model and pricing structure for government agencies
- Comprehensive overview of query execution and storage mechanisms
Optimizing Queries and Reducing Costs
- Techniques for tuning queries to enhance performance and efficiency
- Utilization of partitioned and clustered tables to optimize data management
- Methods for monitoring and analyzing query performance for continuous improvement
- Hands-on lab: Practical exercises in optimizing queries for cost efficiency for government operations
Data Ingestion and Transformation
- Strategies for loading data from various external sources into BigQuery for government datasets
- Using Dataflow and Dataprep to facilitate Extract, Transform, Load (ETL) processes for government data
- Implementation of materialized views and scheduled queries for efficient data management
- Hands-on lab: Constructing a reporting pipeline tailored for government use cases
Introduction to BigQuery ML
- Overview of machine learning capabilities within BigQuery, specifically designed for government applications
- Detailed exploration of supported model types, including linear regression, logistic regression, and clustering
- Explanation of SQL syntax used for creating and managing ML models in BigQuery
- Hands-on lab: Creating and training a machine learning model for government-specific datasets
Building Predictive Models with BigQuery ML
- Steps for training and evaluating predictive models within BigQuery for government applications
- Utilization of ML.EVALUATE and ML.PREDICT functions to assess model performance
- Techniques for integrating predictive analytics into reports for enhanced decision-making in government
- Hands-on lab: Developing a comprehensive predictive analytics workflow for government use
Best Practices for Enterprise Analytics
- Strategies for governance and access control to ensure data security and compliance in government environments
- Methods for managing large datasets at scale, with a focus on efficiency and performance for government operations
- Cost control strategies to optimize budget allocation and resource management for government agencies
- Case studies of successful BigQuery implementations in government settings, highlighting best practices and lessons learned
Summary and Next Steps
Requirements
- Basic knowledge of SQL for government applications
- Familiarity with data management concepts
- Experience with reporting or analytics tools
Audience
- Data analysts in public sector roles
- BI developers for government projects
- Data engineers supporting governmental data initiatives
14 Hours
Testimonials (2)
The scheduling of every topic and the breaks inserted it helps in digesting the information specially to the newbie to the topic
Jerico Torres - Globe Telecom
Course - Google BigQuery
Responses with solutions and practical use.
