MainframeMaster

COBOL Data Integration

Data integration combines information from multiple sources into unified datasets for comprehensive processing. Learn ETL processes, data mapping, and integration patterns for effective data management.

ETL Process Overview

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       PROCEDURE DIVISION.
       MAIN-ETL-PROCESS.
           DISPLAY 'Starting ETL Process'
           
           *> Extract phase
           PERFORM EXTRACT-DATA-FROM-SOURCES
           
           *> Transform phase
           PERFORM TRANSFORM-DATA
           
           *> Load phase
           PERFORM LOAD-DATA-TO-TARGET
           
           DISPLAY 'ETL Process completed'
           STOP RUN.
       
       EXTRACT-DATA-FROM-SOURCES.
           OPEN INPUT SOURCE-FILE-1 SOURCE-FILE-2 SOURCE-FILE-3
           MOVE 0 TO EXTRACTED-RECORD-COUNT
           PERFORM UNTIL ALL-SOURCES-EOF
               PERFORM READ-NEXT-SOURCE-RECORD
               IF RECORD-VALID
                   PERFORM ADD-TO-EXTRACT-BUFFER
               END-IF
           END-PERFORM
           CLOSE SOURCE-FILE-1 SOURCE-FILE-2 SOURCE-FILE-3.

Implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources. Extract data from various sources, transform it to a common format, and load it into target systems.

Data Mapping and Transformation

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       WORKING-STORAGE SECTION.
       01 DATA-MAPPING.
           05 SOURCE-FIELDS.
               10 SRC-CUSTOMER-ID PIC 9(6).
               10 SRC-CUSTOMER-NAME PIC X(30).
               10 SRC-BALANCE PIC 9(9)V99.
           05 TARGET-FIELDS.
               10 TGT-CUSTOMER-ID PIC 9(8).
               10 TGT-CUSTOMER-NAME PIC X(40).
               10 TGT-BALANCE PIC 9(9)V99.
       
       PROCEDURE DIVISION.
       PERFORM MAP-SOURCE-TO-TARGET
       
       MAP-SOURCE-TO-TARGET.
           *> Map customer ID with padding
           MOVE SRC-CUSTOMER-ID TO TGT-CUSTOMER-ID
           ADD 1000000 TO TGT-CUSTOMER-ID
           
           *> Map customer name with formatting
           MOVE FUNCTION UPPER-CASE(SRC-CUSTOMER-NAME) TO TGT-CUSTOMER-NAME
           
           *> Map balance with conversion
           COMPUTE TGT-BALANCE = SRC-BALANCE * 100  *> Convert to cents
           
           DISPLAY 'Mapped Customer ID: ' TGT-CUSTOMER-ID
           DISPLAY 'Mapped Name: ' TGT-CUSTOMER-NAME
           DISPLAY 'Mapped Balance: ' TGT-BALANCE.

Create data mapping procedures to transform data between different source and target formats. Use field mapping tables, transformation rules, and data conversion procedures for accurate data integration.

Multi-Source Data Integration

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       WORKING-STORAGE SECTION.
       01 INTEGRATION-CONTROL.
           05 SOURCE-COUNT PIC 9 VALUE 3.
           05 CURRENT-SOURCE PIC 9 VALUE 1.
           05 INTEGRATION-BUFFER PIC X(1000).
           05 MERGED-RECORD-COUNT PIC 9(6) VALUE 0.
       
       PROCEDURE DIVISION.
       PERFORM INTEGRATE-MULTIPLE-SOURCES
       
       INTEGRATE-MULTIPLE-SOURCES.
           PERFORM VARYING CURRENT-SOURCE FROM 1 BY 1 
                   UNTIL CURRENT-SOURCE > SOURCE-COUNT
               PERFORM PROCESS-SOURCE-FILE USING CURRENT-SOURCE
               PERFORM MERGE-SOURCE-DATA
           END-PERFORM
           
           DISPLAY 'Integration completed. Records merged: ' MERGED-RECORD-COUNT.
       
       PROCESS-SOURCE-FILE USING SOURCE-NUMBER.
           EVALUATE SOURCE-NUMBER
               WHEN 1
                   PERFORM PROCESS-CUSTOMER-FILE
               WHEN 2
                   PERFORM PROCESS-ACCOUNT-FILE
               WHEN 3
                   PERFORM PROCESS-TRANSACTION-FILE
           END-EVALUATE.

Integrate data from multiple sources by processing each source file and merging the results. Use control structures to manage different source types and maintain integration statistics.

Data Validation and Quality

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       WORKING-STORAGE SECTION.
       01 DATA-QUALITY.
           05 VALIDATION-RULES.
               10 CUSTOMER-ID-VALID PIC X VALUE 'N'.
               10 NAME-VALID PIC X VALUE 'N'.
               10 BALANCE-VALID PIC X VALUE 'N'.
           05 QUALITY-METRICS.
               10 VALID-RECORDS PIC 9(6) VALUE 0.
               10 INVALID-RECORDS PIC 9(6) VALUE 0.
               10 TOTAL-RECORDS PIC 9(6) VALUE 0.
       
       PROCEDURE DIVISION.
       PERFORM VALIDATE-INTEGRATED-DATA
       
       VALIDATE-INTEGRATED-DATA.
           ADD 1 TO TOTAL-RECORDS
           
           *> Validate customer ID
           IF CUSTOMER-ID > 0 AND CUSTOMER-ID <= 999999
               MOVE 'Y' TO CUSTOMER-ID-VALID
           ELSE
               MOVE 'N' TO CUSTOMER-ID-VALID
           END-IF.
           
           *> Validate customer name
           IF CUSTOMER-NAME NOT = SPACES AND CUSTOMER-NAME IS ALPHABETIC
               MOVE 'Y' TO NAME-VALID
           ELSE
               MOVE 'N' TO NAME-VALID
           END-IF.
           
           *> Validate balance
           IF BALANCE >= 0 AND BALANCE <= 999999.99
               MOVE 'Y' TO BALANCE-VALID
           ELSE
               MOVE 'N' TO BALANCE-VALID
           END-IF.
           
           *> Determine overall record validity
           IF CUSTOMER-ID-VALID = 'Y' AND NAME-VALID = 'Y' AND BALANCE-VALID = 'Y'
               ADD 1 TO VALID-RECORDS
           ELSE
               ADD 1 TO INVALID-RECORDS
               PERFORM LOG-INVALID-RECORD
           END-IF.

Implement comprehensive data validation and quality checks during integration. Validate data integrity, format, and business rules to ensure high-quality integrated data.

Real-Time Data Integration

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       WORKING-STORAGE SECTION.
       01 REAL-TIME-INTEGRATION.
           05 INTEGRATION-TRIGGER PIC X.
               88 DATA-CHANGE VALUE 'C'.
               88 TIME-TRIGGER VALUE 'T'.
               88 MANUAL-TRIGGER VALUE 'M'.
           05 INTEGRATION-STATUS PIC X.
               88 INTEGRATION-ACTIVE VALUE 'A'.
               88 INTEGRATION-PAUSED VALUE 'P'.
       
       PROCEDURE DIVISION.
       PERFORM REAL-TIME-INTEGRATION-LOOP
       
       REAL-TIME-INTEGRATION-LOOP.
           PERFORM UNTIL INTEGRATION-STATUS = 'P'
               PERFORM CHECK-INTEGRATION-TRIGGERS
               IF INTEGRATION-TRIGGER = 'C'
                   PERFORM PROCESS-DATA-CHANGE
               ELSE IF INTEGRATION-TRIGGER = 'T'
                   PERFORM PROCESS-TIME-TRIGGER
               END-IF
               PERFORM WAIT-FOR-NEXT-TRIGGER
           END-PERFORM.

Implement real-time data integration for immediate data synchronization. Use triggers, event-driven processing, and continuous monitoring for real-time data updates.

Data Integration Error Handling

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       WORKING-STORAGE SECTION.
       01 INTEGRATION-ERROR-HANDLING.
           05 ERROR-TYPE PIC X(20).
           05 ERROR-SOURCE PIC X(20).
           05 ERROR-MESSAGE PIC X(100).
           05 RETRY-COUNT PIC 9(2) VALUE 0.
           05 MAX-RETRIES PIC 9(2) VALUE 3.
       
       PROCEDURE DIVISION.
       PERFORM INTEGRATION-WITH-ERROR-HANDLING
       
       INTEGRATION-WITH-ERROR-HANDLING.
           PERFORM UNTIL INTEGRATION-SUCCESSFUL = 'Y' OR RETRY-COUNT >= MAX-RETRIES
               ADD 1 TO RETRY-COUNT
               PERFORM ATTEMPT-INTEGRATION
               IF INTEGRATION-SUCCESSFUL = 'N'
                   PERFORM HANDLE-INTEGRATION-ERROR
                   PERFORM WAIT-BEFORE-RETRY
               END-IF
           END-PERFORM
           
           IF INTEGRATION-SUCCESSFUL = 'N'
               PERFORM LOG-INTEGRATION-FAILURE
               MOVE 16 TO RETURN-CODE
           END-IF.

Implement robust error handling for data integration processes. Use retry mechanisms, comprehensive error logging, and fallback procedures for failed integrations.

Integration Performance Optimization

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       WORKING-STORAGE SECTION.
       01 PERFORMANCE-OPTIMIZATION.
           05 BATCH-SIZE PIC 9(4) VALUE 1000.
           05 PROCESSED-RECORDS PIC 9(6) VALUE 0.
           05 INTEGRATION-TIME PIC 9(6).
           05 PERFORMANCE-THRESHOLD PIC 9(6) VALUE 10000.
       
       PROCEDURE DIVISION.
       PERFORM OPTIMIZED-INTEGRATION
       
       OPTIMIZED-INTEGRATION.
           *> Process data in batches for better performance
           PERFORM UNTIL ALL-DATA-PROCESSED
               PERFORM PROCESS-BATCH USING BATCH-SIZE
               ADD BATCH-SIZE TO PROCESSED-RECORDS
               
               *> Check performance metrics
               IF PROCESSED-RECORDS > PERFORMANCE-THRESHOLD
                   PERFORM OPTIMIZE-INTEGRATION-PROCESS
               END-IF
           END-PERFORM.

Optimize integration performance using batch processing, efficient algorithms, and performance monitoring. Use appropriate batch sizes and optimize for different data volumes.

Integration Monitoring and Reporting

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       WORKING-STORAGE SECTION.
       01 INTEGRATION-MONITORING.
           05 INTEGRATION-STATISTICS.
               10 SOURCE-RECORDS PIC 9(8) VALUE 0.
               10 TARGET-RECORDS PIC 9(8) VALUE 0.
               10 INTEGRATION-ERRORS PIC 9(6) VALUE 0.
               10 PROCESSING-TIME PIC 9(6).
           05 INTEGRATION-REPORT.
               10 REPORT-DATE PIC 9(8).
               10 REPORT-TIME PIC 9(6).
               10 SUCCESS-RATE PIC 9(3)V99.
       
       PROCEDURE DIVISION.
       PERFORM GENERATE-INTEGRATION-REPORT
       
       GENERATE-INTEGRATION-REPORT.
           MOVE FUNCTION CURRENT-DATE TO REPORT-DATE
           MOVE FUNCTION CURRENT-TIME TO REPORT-TIME
           
           *> Calculate success rate
           IF SOURCE-RECORDS > 0
               COMPUTE SUCCESS-RATE = (TARGET-RECORDS / SOURCE-RECORDS) * 100
           ELSE
               MOVE 0 TO SUCCESS-RATE
           END-IF
           
           DISPLAY 'Integration Report'
           DISPLAY '================'
           DISPLAY 'Date: ' REPORT-DATE
           DISPLAY 'Time: ' REPORT-TIME
           DISPLAY 'Source Records: ' SOURCE-RECORDS
           DISPLAY 'Target Records: ' TARGET-RECORDS
           DISPLAY 'Errors: ' INTEGRATION-ERRORS
           DISPLAY 'Success Rate: ' SUCCESS-RATE '%'
           DISPLAY 'Processing Time: ' PROCESSING-TIME ' seconds'.

Implement comprehensive monitoring and reporting for data integration processes. Track statistics, performance metrics, error rates, and success rates for operational visibility.

Data Initialization

Setting initial values

Data Consolidation

Combining and merging data