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

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