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Course Outline
Introduction to BigQuery for Government
- Overview of BigQuery architecture and features for government
- Explanation of the cost model and pricing structure for government
- Detailed overview of query execution and storage mechanisms
Optimizing Queries and Reducing Costs for Government
- Techniques for tuning queries to enhance performance
- Utilization of partitioned and clustered tables for efficiency
- Methods for monitoring and analyzing query performance
- Hands-on lab: optimizing queries for cost efficiency in government applications
Data Ingestion and Transformation for Government
- Strategies for loading data from various external sources into BigQuery
- Use of Dataflow and Dataprep for Extract, Transform, Load (ETL) processes in government
- Implementation of materialized views and scheduled queries for enhanced reporting
- Hands-on lab: building a reporting pipeline for government data
Introduction to BigQuery ML for Government
- Overview of machine learning capabilities within BigQuery for government use
- Supported model types, including linear regression, logistic regression, and clustering
- SQL syntax for creating and managing machine learning models
- Hands-on lab: creating and training a machine learning model for government applications
Building Predictive Models with BigQuery ML for Government
- Processes for training and evaluating predictive models
- Use of ML.EVALUATE and ML.PREDICT functions for model assessment
- Integration of predictive insights into government reports and dashboards
- Hands-on lab: developing a predictive analytics workflow for government
Best Practices for Enterprise Analytics in Government
- Strategies for governance and access control in government environments
- Techniques for managing large datasets at scale within government agencies
- Cost control measures to optimize budget allocation for data analytics
- Case studies of successful BigQuery implementations in government organizations
Summary and Next Steps for Government
Requirements
- Fundamental knowledge of SQL
- Understanding of data management principles
- Experience with reporting or analytics tools
Audience for Government
- Data Analysts
- BI Developers
- Data Engineers
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.