Staging.Staging-to-FactK12StudentCourseSections
Overview & Purpose
This stored procedure populates the RDS.FactK12StudentCourseSections fact table and the RDS.BridgeK12StudentCourseSectionRaces bridge table with data from staging tables. It transfers K-12 student course section data from staging tables to the data warehouse, creating relationships between students, courses, schools, and various educational entities.
Main Functions:
Populate FactK12StudentCourseSections
Transfers student course section data from staging tables to the fact table with appropriate dimension keys
Populate BridgeK12StudentCourseSectionRaces
Creates relationships between student course sections and race information
Key Calculations:
Populate FactK12StudentCourseSections: Sets a count of 1 for each student course section record
Formula:
StudentCourseSectionCount = 1
Business Significance: Enables counting of student course sections for reporting and analysis
Example: Each row in the fact table will have a StudentCourseSectionCount of 1
Data Transformations:
Mapping staging table identifiers to dimension table surrogate keys
Handling NULL values with ISNULL functions to default to -1 for dimension keys
Joining multiple staging tables to create comprehensive fact records
Converting VARCHAR data types for proper joining conditions
Expected Output:
Populated RDS.FactK12StudentCourseSections fact table and RDS.BridgeK12StudentCourseSectionRaces bridge table with transformed data from staging tables
Business Context
System: K-12 Education Data Warehouse
Necessity: Enables analysis and reporting of student course section data across educational institutions
Business Rules:
Student records are linked to multiple LEA (Local Education Agency) types including accountability, attendance, funding, graduation, and IEP
Race and ethnicity data is handled separately through a bridge table to support multiple race values per student
Hispanic/Latino ethnicity is treated as a race category
Default dimension key value of -1 is used for missing dimension references
Result Usage:
Reporting and analysis of student course enrollment patterns, demographic distribution in courses, and educational program participation
Execution Frequency:
Likely executed during regular ETL processes, possibly daily or weekly
Critical Periods:
End of academic terms
State and federal reporting deadlines
Parameters
Source Tables
Staging.K12Enrollment
Business Purpose: Stores student enrollment data from source systems
Columns:
StudentIdentifierState
VARCHAR
Unique identifier for students at the state level
SchoolIdentifierSea
VARCHAR
Identifies the school within the state education agency system
Staging.K12StudentCourseSection
Business Purpose: Stores information about student course section enrollment
Columns:
StudentIdentifierState
VARCHAR
Unique identifier for students at the state level
ScedCourseCode
VARCHAR
School Codes for the Exchange of Data course code
Staging.K12PersonRace
Business Purpose: Stores race information for K12 students
Columns:
StudentIdentifierState
VARCHAR
Unique identifier for students at the state level
RaceType
VARCHAR
Identifies the race of the student
Potential Improvements
Performance
Description: Move the index rebuild operation outside the transaction
Benefits: Reduces transaction duration and lock contention
Priority: Medium
Error Handling
Description: Add explicit error handling with TRY/CATCH blocks
Benefits: Better error reporting and handling of specific error conditions
Priority: Medium
Performance
Description: Consider batch processing for large datasets
Benefits: Reduced memory usage and transaction size
Priority: Low
Execution Steps
Step 1: Disable all indexes on the fact table to improve insert performance
Input Data: None
Transformations: None
ALTER INDEX ALL ON RDS.FactK12StudentCourseSections DISABLE
Step 2: Begin transaction for data consistency
Input Data: None
Transformations: None
Begin Transaction
Step 3: Insert data into the fact table
Input Data: Data from staging tables joined with dimension tables
Transformations: Mapping staging identifiers to dimension keys, handling nulls with ISNULL
INSERT INTO rds.FactK12StudentCourseSections (...) SELECT ... FROM Staging.K12Enrollment ske JOIN Staging.K12StudentCourseSection sppse ...
Step 4: Insert data into the bridge table
Input Data: Data from fact table joined with staging and dimension tables
Transformations: Mapping race information to dimension keys
INSERT INTO RDS.BridgeK12StudentCourseSectionRaces (...) SELECT ... FROM RDS.FactK12StudentCourseSections rfksc ...
Step 5: Rebuild all indexes on the fact table
Input Data: None
Transformations: None
ALTER INDEX ALL ON RDS.FactK12StudentCourseSections REBUILD
Step 6: Commit the transaction
Input Data: None
Transformations: None
Commit Transaction
Was this helpful?