Course Outline

Introduction

  • Overview of MongoDB's Aggregation Framework
  • Comparison of Aggregation Framework to Map-Reduce for government applications

Understanding Aggregation Concepts

  • Aggregation Pipelines in Government Databases
  • MongoDB Aggregation Stages and Their Functions
  • Use Cases and Practical Examples for Government Operations

Getting Started

  • Installation and Configuration of MongoDB for government use
  • Exploring MongoDB Compass and Studio 3T for Efficient Data Management
  • Basic CRUD Operations in a Government Context

Aggregation Basics

  • Structure and Syntax of Aggregation Pipelines for government data sets
  • Query Conditions Using $match for Precise Filtering
  • Inclusion and Exclusion of Fields with $project for Efficient Data Retrieval
  • Grouping Documents with $group for Aggregate Analysis
  • Working with Arrays Using $unwind for Flattening Data Structures
  • $lookup and $graphLookup Stages for Relational Data Management
  • Expression Operators for Complex Aggregation Logic

Advanced Operations in Aggregation

  • Categorizing Documents with $bucket for Government Reporting
  • Multi-faceted Aggregations Using $facet for Comprehensive Analysis
  • Accumulator Expressions with $accumulator for Custom Aggregation Functions
  • Writing Results to a Collection with $merge for Data Persistence

Optimizing Aggregation Pipelines

  • Projection Optimization for Efficient Data Handling
  • Pipeline Sequence Optimization for Performance Enhancement
  • Pipeline Coalescence Optimization for Resource Efficiency
  • Indexes and Document Filters for Improved Query Speed

Troubleshooting

Summary and Next Steps

Requirements

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

Audience

  • Data analysts
  • Data scientists
 14 Hours

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