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Course Outline

Introduction

  • Exploring MongoDB's Aggregation Framework.
  • Comparing the Aggregation Framework with Map-Reduce.

Core Aggregation Concepts

  • Understanding aggregation pipelines.
  • Key MongoDB aggregation stages.
  • Practical use cases and examples.

Getting Started

  • Installing and configuring MongoDB.
  • Exploring MongoDB Compass and Studio 3T.
  • Executing basic CRUD operations.

Aggregation Fundamentals

  • Structure and syntax essentials.
  • Filtering data using query conditions ($match).
  • Selecting fields for inclusion or exclusion ($project).
  • Grouping documents ($group).
  • Handling array elements ($unwind).
  • Utilizing $lookup and $graphLookup stages.
  • Implementing expression operators.

Advanced Aggregation Techniques

  • Segmenting documents ($bucket).
  • Executing multi-faceted aggregations ($facet).
  • Employing accumulator expressions ($accumulator).
  • Saving results to a collection ($merge).

Optimizing Aggregation Pipelines

  • Enhancing projection efficiency.
  • Optimizing the pipeline sequence.
  • Implementing pipeline coalescence.
  • Leveraging indexes and document filters.

Troubleshooting

Summary and Future Learning Paths

Requirements

  • Familiarity with core data analysis concepts.
  • Previous experience working with MongoDB.

Target Audience

  • Data analysts
  • Data scientists
 14 Hours

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