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Debugging MongoDB Aggregations for Inventory and Product Insights
10 Inputs
1 Hour
Intermediate
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Industry
e-commerce
Skills
approach
data-storage
data-wrangling
Tools
mongodb
Learning Objectives
Use MongoDB operators like $unwind, $match, $lookup, $addFields, and $group to transform and aggregate data efficiently.
Learn how to handle complex fields such as arrays and nested documents while performing aggregations.
Understand how to generate detailed reports by applying filters, sorting, and calculating metrics such as total volume and product ranking.
Improve the performance of aggregation queries by ensuring correct data types and optimizing query stages for better efficiency.
Overview
Globalmart: Warehouse Inventory and Product Data Management
Overview:
Globalmart, a rapidly growing e-commerce platform, using Mongop DB to store its diverse warehouse inventory and product data . The leadership team requires accurate and efficient reports to monitor:
- Product stock levels across inventories
- How Products occupy space in warehouses
- Packaging types and categories of various Products
However, errors in MongoDB aggregation queries have resulted in incomplete and incorrect data, leading to discrepancies in the inventory reports.
Key Issues:
- MongoDB queries are producing incorrect results
- Inventory reports are incomplete or inaccurate
Objective:
- Troubleshoot and correct the MongoDB aggregation queries to ensure accurate reporting on products that meet the required criteria.
Prerequisites
- Knowledge of MongoDB aggregation framework.
- Ability to troubleshoot and correct aggregation queries.
- Knowledge of basic mongo db opertors such $match, $group, $unwind, etc