Course Outline

Introduction

  • Overview of MongoDB's Aggregation Framework for government use
  • Comparison of the Aggregation Framework to Map-Reduce in a public sector context

Understanding Aggregation Concepts for Government

  • Aggregation pipelines and their role in data processing
  • MongoDB aggregation stages and their functions
  • Use cases and examples relevant to government operations

Getting Started with MongoDB for Government

  • Installing and configuring MongoDB for government systems
  • Exploring MongoDB Compass and Studio 3T in a public sector environment
  • Basic CRUD operations tailored for government data management

Aggregation Basics for Government

  • Structure and syntax of aggregation queries
  • Query conditions using $match for efficient data filtering
  • Inclusion and exclusion of fields with $project to optimize output
  • Grouping documents using $group to summarize data
  • Working with arrays through the $unwind stage
  • $lookup and $graphLookup stages for joining collections
  • Expression operators for complex query operations

Advanced Operations in Aggregation for Government

  • Categorizing documents using $bucket for data segmentation
  • Multi-faceted aggregations with $facet for comprehensive analysis
  • Accumulator expressions through $accumulator for custom aggregation logic
  • Writing results to a collection with $merge for data persistence

Optimizing Aggregation Pipelines for Government

  • Projection optimization techniques to enhance performance
  • Pipeline sequence optimization strategies to streamline processing
  • Pipeline coalescence optimization methods to reduce resource usage
  • Indexes and document filters to improve query efficiency

Troubleshooting Aggregation Issues for Government

Summary and Next Steps for Government Users

Requirements

  • An understanding of data analysis principles for government
  • Experience with MongoDB

Audience

  • Data Analysts
  • Data Scientists
 14 Hours

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