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:

Name	Data Type	Business Purpose
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:

Name	Data Type	Business Purpose
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:

Name	Data Type	Business Purpose
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