APPLICATION MODERNIZATION

Automated Data Migration

Our Automated Data Migration solution delivers modern Cloud-enabled databases and supporting applications that are functionally equivalent to their legacy counterparts. Our software converts the non-relational database into a relational database, providing instant access to vendor and third party tools for reporting, monitoring, maintaining, and documenting. In addition, it allows the data to be accessed and analyzed by a vast talent pool of DBAs with modern skillsets.

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Discussing the 2022 Mainframe Modernization Report

60 minutes

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Why modernize?

CHALLENGES

Scarcity of domain expertise

Developers and database administrators who understand mainframe technology are reaching retirement age and no one is trained to replace them, resulting in a steadily diminishing talent pool. As this shortage grows, the costs and risk of relying on legacy systems will continue to rise.

Limited flexibility

Successful digital transformation and business agility hinges on good data. Non-relational databases and the underlying assets that support them were not designed for today’s business demands or modern IT, resulting in difficult integrations, inaccessible data, and limited flexibility.

Exorbitant costs

Mainframes cost as much as 4,500 per cent more to operate than equivalent Cloud counterparts. This figure is compounded by rising licensing and maintenance fees for ancillary mainframe applications and databases.

Automated Data Migration

OUR SOLUTION

Our Automated Data Migration software converts your non-relational database into a relational database, providing instant access to vendor and third party tools for reporting, monitoring, maintaining, and documenting. In addition, it allows the data to be accessed and analyzed by the vast talent pool of DBAs with modern skillsets.

Automated Data Migration options include:

  • Adabas to relational (Oracle, Db2, SQL Server, or PostgreSQL)
  • IDMS and IDMSX to relational
  • IMS to relational
  • VSAM to relational
  • Db2 to an alternative relational model

Automated Data Migration consists of data and database conversion, as well as Automated Refactoring of applications used to access the in-scope data. Database and data conversion is typically performed simultaneously with the application refactoring activities, although they can be performed independently.

Automated Refactoring of ancillary applications

Automated Refactoring transforms the applications that use the in-scope data and databases to object-oriented Java or C# for deployment to the Cloud or in open systems on premises. We can also consolidate the application codebase associated with the data migration by refactoring it to COBOL for on-mainframe deployments.

Automated Data Migration activities

Database and data conversion includes de-construction of the database definitions into metadata artifacts. We tune our Automated Data Migration software to accommodate any additional conversion or architectural rules based upon assess and design phase findings and your feedback. This can include column and table naming, date type formats, overrides for redefines and group level clauses, and preferences for each statement and clause in the resulting DDL.

With our data migration experts at the helm, the Automated Data Migration software generates a brand new DDL which defines a complete relational database, providing the same data access, features, and unique functionality as the legacy database.

The resulting relational database definitions are tested by our data migration experts prior to delivery to your team to ensure that the generated code is syntactically correct. Retention of functionality is an important consideration when evaluating data migration solutions. Fortunately, we provide a complete replacement for all database and application functionality and unique constructs by default. For example, 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 customer naming standards as well. For mainframe-to-mainframe migrations, we even deliver the JCL required to compile and execute the extracts from the legacy database. Workbenches for date type handling also enable the new databases and applications to take advantage of all the date and time data types in the relational database.

The legacy database definition can be re-collected and processed through our Automated Data Migration software anytime throughout the project lifecycle. This prevents the need to put a freeze on changes to the legacy database structure, a huge win for critical business systems that change often.

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Over 35 years of mainframe modernization experience

More than 500 successful modernization projects completed

Over 2.5 billion lines of code refactored through automation

Intelligent modernization, unparalleled experience

OUR PROCESS

Additional resources to help you modernize

 
 

CASE STUDY

Police Mutual Assurance Society

Police Mutual migrated from OpenVMS with Natural/Adabas to Microsoft SQL Server, Windows Server, Visual Studio and Hyper-V.

Read case study

 

 

 
 

WHITEPAPER

Data Migration: Liberate legacy data

This whitepaper outlines the challenge of data locked in legacy systems, the options for solving them, and a breakdown of our solutions.

Read whitepaper

 

 

 
 

REPORT

2022 Mainframe Modernization Report

Exploring the impact of the new era of digitalization and change on the current state of legacy systems and organizations' modernization plans.

Read report

 

 

Read blog angle-right-solid.svg

Oct 21, 2022 by Tim Jones, Managing Director of Application Modernization, Advanced

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Aug 19, 2022 by Rob Anderson, Vice President of Marketing and Product, Advanced

Data security & application modernization

​Data security is an increasing concern for organizations across the globe, and it is also a major driver for selecting modernization strategies and cloud providers.

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Jun 30, 2022 by Rob Anderson, Vice President of Marketing and Product, Advanced

News & Opinions

BLOG // 24-11-2022

Part 1: Recap of 2022 Mainframe Modernization Report Findings Discussio…

by Rob Anderson, Vice President of Marketing and Product for Application Modernization

Part 1: Recap of 2022 Mainframe Modernization Report Findings Discussion