Liberate Legacy Data – Download Whitepaper
Advanced’s IMS conversion services include the generation of a new relational database to replace the functionality and content of the pre-relational source. The new target relational database can reside on or off the mainframe and can use any of the standard relational database management systems (Microsoft SQL Server, Oracle, or IBM Db2). Our solution includes the conversion and migration of the IMS database design and of the data within the databases. The resulting databases are fully relational and native to the target DBMS and environment.
In-scope database functionality
The IMS conversion process considers - and provides a complete replacement for - the database functionality below.
- IMS record layouts
- Multi-View record types
- Parent and Child relationships
- Group-level elements
- Re-defined data within records
- Occurring data
The relational results of IMS Conversion
The resulting post-modernised database is fully relational. Primary keys, foreign keys, and index definitions are automatically created, and all constraints are generated into the resulting DDL. Table spaces, indexes, table names, and column names are all generated according to your organisation’s explicit naming standards. The new database provides the same business capabilities as the existing IMS database, but also provides full access to the data using standard SQL.
The IMS Conversion process
The IMS data extract and relational load process is simple and straightforward. During the extract process, all IMS data is extracted and written to a set of sequential files that are ready to load to the new relational database target. These extracts are fast and can be executed simultaneously. Advanced can provide several extract variations for sites that have special requirements for a short IMS data conversion window as well. Data refactoring during the cut-over weekend or evening is always fast and complete.
As part of the delivery process, our customisable modernisation solution generates and delivers the following component types for installation in the new relational database processing environment:
- Data Definition Language (DDL) Syntax for the new database
- IMS Data Extract programmes, generated in COBOL, to unload all IMS data to the correct format for the relational database load utility
- IMS Data Extract JCL, customised to the customer environment, to execute the extracts and other key processing utilities
- Load Syntax (optional) for use by relational database load utility
- RI Check Syntax (optional) for use by relational database utility package
- RUNSTATS Syntax (optional) for use by relational database utility package
- DCLGEN syntax (optional) to define COBOL layouts of the tables for replacement applications
Special workbenches within our software provide additional capabilities for tailoring an IMS conversion so that it better meets your organisation's needs and requirements:
- Re-name Workbenches to allow full naming of all tables, columns, table spaces, and indexes using a rules basis or a full-name basis
- Multi-view workbench processing to allow the specification of multiple data layouts for a single IMS record so that the refactored database can include multiple tables to replace the multi-function IMS record
- Data Cleansing Workbench to provide rule-based data cleansing during the IMS data extract process
- Date Conversion Workbench to allow DATE type columns in the new relational databases (all date formats are supported)
- Element Re-name Workbench that allows selection of group-level or elementary IMS fields for use as columns in the relational database
- Record Re-Definition Workbench to allow changes to field types and lengths during the conversion process
- Segment workbench where copybook or hard-code record layouts are associated to the IMS database segments
Visibility & knowledge-building
Advanced ensures that the customer teams (and the Advanced teams) have a full understanding of the existing IMS database, as well as a full understanding of the modernised relational database. Many reports and diagrams are generated to assist with this knowledge-building process:
- Complete Entity Relationship Model (ERM) diagrams for the new relational databases
- Summary reports of the IMS file sizes and usage
- Matrix reports that relate files to tables, fields to columns, IMS records to extract programmes, and more
- Date Finder reports that allow team members to define selected fields and columns to ensure that the migration addresses all requirements for date conversion
- Additional ad hoc reports that assist in further detailed identification of the unique characteristics of your IMS database and its refactored counterpart
To learn more about database modernisation at Advanced, visit our IMS Data Migration service page or contact us here.