Mainframe Data Extraction and Migration to Open Formats

Organizations planning IBM mainframe modernization or application retirement often face a significant challenge: preserving decades of business-critical historical data stored in proprietary mainframe data structures. While applications may be modernized or retired, historical information must remain accessible for regulatory compliance, customer service, legal discovery, analytics, and business operations. Data Strategies Interchange (DSI) provides Mainframe Data Migration Professional Services that help organizations securely extract, interpret, validate, convert, and migrate historical IBM mainframe data into open, platform-independent formats without disrupting access to critical information.

DSI specializes in migrating complex IBM mainframe data from VSAM (KSDS, ESDS, RRDS), IMS databases, IBM Db2 for z/OS, sequential files, GDGs (Generation Data Groups), flat files, and other proprietary data repositories. Our proven methodology accurately interprets COBOL copybooks, EBCDIC encoding, COMP and COMP-3 packed decimal fields, binary data types, OCCURS structures, variable-length records, implied decimals, and other legacy data structures to preserve business meaning, record relationships, metadata, and historical accuracy throughout the migration process. Our services enable organizations to retire legacy applications and mainframe infrastructure while maintaining long-term access to historical business information.

This Professional Service supports organizations adopting AWS by preparing historical mainframe data for Amazon S3, Amazon S3 Glacier, Amazon S3 Glacier Deep Archive, Amazon Aurora, Amazon RDS, AWS Glue, Amazon Athena, Amazon EMR, Amazon OpenSearch Service, Amazon Redshift, Amazon Kendra, cloud-native applications, enterprise analytics platforms, AI initiatives, and long-term archival repositories hosted on AWS. DSI's services complement application modernization initiatives by ensuring historical data remains accessible after legacy systems have been decommissioned.

Typical services include:

• Mainframe data assessment and discovery

• Data inventory and dependency analysis

• VSAM, IMS, Db2, sequential file and GDG extraction

• COBOL copybook interpretation

• EBCDIC to ASCII / Unicode conversion

• Packed Decimal (COMP-3), Binary and Zoned Decimal conversion

• Variable-length record and OCCURS structure processing

• Metadata extraction and preservation

• Data transformation and normalization

• Validation, reconciliation and quality assurance

• Pilot migration (Proof of Concept)

• Production migration

• Knowledge transfer and migration documentation

Business benefits include:

• Retire IBM mainframe environments with confidence

• Eliminate dependency on proprietary legacy data formats

• Preserve historical business data and record integrity

• Support application retirement initiatives

• Reduce mainframe infrastructure and operational costs

• Enable cloud adoption using AWS

• Prepare historical data for analytics, AI, reporting, and enterprise search

• Improve regulatory compliance, audit readiness, and long-term retention

DSI has extensive experience delivering enterprise-scale historical data migration projects for organizations across banking, insurance, healthcare, government, manufacturing, utilities, telecommunications, and other regulated industries. Whether your objective is application retirement, legacy data preservation, AWS cloud adoption, or long-term historical data accessibility, DSI provides secure, scalable, and vendor-neutral Professional Services tailored to your technical and business requirements.

AWS Services related to this Professional Service include Amazon S3, Amazon S3 Glacier, Amazon S3 Glacier Deep Archive, Amazon Aurora, Amazon RDS, AWS Glue, Amazon Athena, Amazon EMR, Amazon OpenSearch Service, Amazon Redshift, and Amazon Kendra. AWS service usage charges are billed separately through the customer's AWS account and are not included in this Professional Services offering.