Automated Batch Processing System

Making Automated Batch Processing System
By Using : BYROW, BYCOL, SEQUENCE

Automated Batch Processing System
Function Focus:BYROW, BYCOL, SEQUENCE
Scenario:
FinTech Startup "PayStream" processes thousands of transaction batches daily. Create an automated system that applies calculations across rows and columns without manual iteration.
Dataset Structure:
• Transaction batches: 500 rows x 20 columns (Date, Amount, Category, Merchant, etc.)
• Need row-wise fraud scoring and column-wise aggregation
Tasks:
1.Use BYROW() to apply a custom fraud detection formula to each transaction row
2.Implement BYCOL() to calculate category-wise statistics (sum, avg, max) across the dataset
3.Generate SEQUENCE() numbers for automatic batch ID creation and indexing
4.Create a spill-range summary that auto-updates when new batches are appended
Expected Output:
Fully automated processing system with row-wise calculations, column-wise summaries, and dynamic indexing.
Evaluation Criteria:BYROW/BYCOL lambda integration, SEQUENCE generation, spill-range behavior