Staging.Staging-to-FactK12ProgramParticipations
Overview & Purpose
This stored procedure transfers K12 program participation data from staging tables to the fact table RDS.FactK12ProgramParticipations and populates the bridge table RDS.BridgeK12ProgramParticipationRaces. It performs data transformation, lookups to dimension tables, and handles various data relationships for K12 student program participation tracking.
Main Functions:
Data Transfer from Staging to Fact Table
Moves K12 program participation data from staging tables to the fact table with proper dimension key lookups
Key Calculations:
Data Transfer from Staging to Fact Table: Sets the count measure for each program participation record
Formula:
StudentCount = 1Business Significance: Enables counting of student participation in various programs
Example: Each row in the fact table represents one student's participation with StudentCount = 1
Data Transformations:
Joining multiple staging tables to collect complete program participation data
Looking up dimension keys from various dimension tables
Handling NULL values with ISNULL function to default to -1 for dimension keys
Updating student IDs that may have been missed in the initial lookup
Creating race bridge table entries based on student race and ethnicity data
Expected Output:
Populated RDS.FactK12ProgramParticipations table with dimension keys and measures, and populated RDS.BridgeK12ProgramParticipationRaces bridge table with race relationships
Business Context
System: K12 Education Data Warehouse
Necessity: Tracking student participation in various educational programs for reporting and analysis
Business Rules:
Student identification uses multiple matching criteria including state ID and demographic information
Program participation is tracked with entry and exit dates
Race and ethnicity are handled through a bridge table to support multiple race values per student
Special education status and educational environments are tracked for IDEA reporting
Result Usage:
Reporting on student program participation for compliance, funding, and educational outcome analysis
Execution Frequency:
Likely executed during regular ETL processes, possibly daily or weekly
Critical Periods:
End of school year reporting periods
State and federal education reporting deadlines
Parameters
@DataCollectionName
VARCHAR(60)
Filters processing to a specific data collection if provided
False
Source Tables
Staging.K12ProgramParticipation
Business Purpose: Stores staging data about student participation in educational programs
Columns:
DataCollectionName
VARCHAR
Identifies the source data collection
Staging.K12Enrollment
Business Purpose: Stores staging data about student enrollment in schools
Columns:
Id
INT
Primary key for the enrollment record
Staging.PersonStatus
Business Purpose: Stores staging data about person status information
Staging.ProgramParticipationSpecialEducation
Business Purpose: Stores staging data about special education program participation
Staging.K12PersonRace
Business Purpose: Stores staging data about student race information
Temporary Tables
#Facts
Purpose: Temporary storage of transformed fact data before insertion into fact table
Columns:
StagingId
INT
Direct assignment from Staging.K12Enrollment.Id
#temp
Purpose: Temporary storage for race bridge table data preparation
Columns:
FactK12ProgramParticipationId
INT
Direct assignment from fact table primary key
Potential Improvements
Error Handling
Description: Add explicit error handling with TRY/CATCH blocks
Benefits: Better error reporting and recovery
Priority: High
Transaction Management
Description: Add explicit transaction control
Benefits: Ensures data consistency across related tables
Priority: Medium
Performance
Description: Add indexes to temporary tables
Benefits: Improved query performance for complex joins
Priority: Medium
Code Maintainability
Description: Refactor complex joins into modular components
Benefits: Improved readability and maintainability
Priority: Low
Execution Steps
Step 1: Create temporary table for fact data
Input Data: None
Transformations: Table structure creation
CREATE TABLE #Facts (...)
Step 2: Populate temporary fact table with transformed data
Input Data: Multiple staging tables joined together
Transformations: Dimension key lookups, NULL handling
INSERT INTO #Facts SELECT DISTINCT ...
Step 3: Update student IDs that may have been missed
Input Data: #Facts table and dimension tables
Transformations: Additional lookups for missing student IDs
UPDATE #Facts SET K12StudentId = p.DimPersonId ...
Step 4: Insert data into fact table
Input Data: #Facts temporary table
Transformations: Final NULL handling
INSERT INTO RDS.FactK12ProgramParticipations SELECT DISTINCT ...
Step 5: Rebuild indexes on fact table
Input Data: None
Transformations: None
ALTER INDEX ALL ON RDS.FactK12ProgramParticipations REBUILD
Step 6: Create temporary table for race bridge data
Input Data: Fact table and staging tables
Transformations: Join fact data with race information
SELECT DISTINCT ... INTO #temp FROM ...
Step 7: Populate race bridge table
Input Data: #temp temporary table
Transformations: Race mapping logic
Insert Into RDS.BridgeK12ProgramParticipationRaces ...
Step 8: Clean up temporary tables
Input Data: None
Transformations: None
DROP TABLE IF EXISTS #temp
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