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Organize Product List by Category | DataWeave Real-World Scenario
🔹 Group Products by Category Using DataWeave | Real-World Scenario
In this hands-on DataWeave tutorial, we solve a practical transformation challenge from product management and e-commerce domains:
You receive a flat list of products with their associated categories, and your goal is to group them into separate arrays by category.
✅ Input JSON:
A flat array of product objects with fields product and category
[
{
"product": "iPhone",
"category": "Electronics"
},
{
"product": "T-Shirt",
"category": "Clothing"
},
{
"product": "Laptop",
"category": "Electronics"
}
]
✅ Expected Output:
A JSON object where each key is a category, and the value is an array of product names
[
{
"Electronics": [
"iPhone",
"Laptop"
]
},
{
"Clothing": [
"T-Shirt"
]
}
]
🔸 What You’ll Learn in This Video:
How to use groupBy to cluster items by category
How to use pluck to extract specific fields into arrays
Clean techniques for flattening and organizing data
📦 Use Cases:
Product categorization in e-commerce
Inventory dashboard grouping
Visualizing grouped data for business reporting
👉 Like 👍 | Comment 💬 | Subscribe 🔔 for more real-world DataWeave scenarios and transformation tips!
#DataWeave #MuleSoft #ProductCategorization #GroupBy #JSONTransformation #MuleSoftTraining
Видео Organize Product List by Category | DataWeave Real-World Scenario канала Workflow Mastery Hub
In this hands-on DataWeave tutorial, we solve a practical transformation challenge from product management and e-commerce domains:
You receive a flat list of products with their associated categories, and your goal is to group them into separate arrays by category.
✅ Input JSON:
A flat array of product objects with fields product and category
[
{
"product": "iPhone",
"category": "Electronics"
},
{
"product": "T-Shirt",
"category": "Clothing"
},
{
"product": "Laptop",
"category": "Electronics"
}
]
✅ Expected Output:
A JSON object where each key is a category, and the value is an array of product names
[
{
"Electronics": [
"iPhone",
"Laptop"
]
},
{
"Clothing": [
"T-Shirt"
]
}
]
🔸 What You’ll Learn in This Video:
How to use groupBy to cluster items by category
How to use pluck to extract specific fields into arrays
Clean techniques for flattening and organizing data
📦 Use Cases:
Product categorization in e-commerce
Inventory dashboard grouping
Visualizing grouped data for business reporting
👉 Like 👍 | Comment 💬 | Subscribe 🔔 for more real-world DataWeave scenarios and transformation tips!
#DataWeave #MuleSoft #ProductCategorization #GroupBy #JSONTransformation #MuleSoftTraining
Видео Organize Product List by Category | DataWeave Real-World Scenario канала Workflow Mastery Hub
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Информация о видео
8 мая 2025 г. 14:43:03
00:03:14
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