Starting a Mainframe Data Migration Project? Consider Your Use Cases Carefully

by Joseph Brady, Director of Business Development and Cloud Alliance Leader at Treehouse Software

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Planning for Real-time and Bi-directional Mainframe Data Replication with tcVISION

A customer’s mainframe data may be utilized by many interlinked and dependent programs that have been in place for several years, and sometimes, decades, so unlocking the value of this legacy data can be difficult. Therefore, careful planning must occur for a mainframe data modernization project, beginning with identifying uses cases for the project and a Proof of Concept (POC) of data replication software, such as tcVISION, the Mainframe-to-Cloud and Open Systems data replication product from Treehouse Software.

This blog serves as a general guide for organizations planning to replicate their mainframe data on Cloud and/or Open Systems platforms using tcVISION.

Questions and Considerations for Your Use Cases

A general principle should be to prove out the data replication technology (tcVISION) by using identified use cases. Listed below are some examples of questions and use cases to assist customers in planning and experiencing successful Mainframe-to-Cloud and/or Open Systems data replication projects:

  • What is/are the mainframe source database(s)? Obvious, yes, but the software solution vendor and outside consultants need this information.
  • What are the critical issues you need to test? Are there any areas that you believe that would be challenging for the vendor? Examples would be specific transformations, data types (e.g., BLOB), required CDC SLAs, field/column changes, specific security requirements, data volume requirements, etc. Document all of the critical test items.
  • Select the minimal set of files (generally 3-10) with representative conditions that will enable you to test all of your critical items. If there are multiple source databases, ensure specific test use cases are defined for each source.
  • What are the target databases? Will you be replicating to a Cloud database manager, such as AWS RDS? Are there additional requirements to replicate to S3, Azure BLOB, GCP Cloud Storage, Kinesis, and Kafka? What needs to be tested?
  • What are your bulk or initial load requirements? tcVISION can load data directly from mainframe databases, mainframe unloads, or image copies. What are the data volumes? Do you have sufficient bandwidth between your mainframe manager and on-premises or Cloud VM to handle your volume requirements?
  • What are your Change Data Capture (CDC) requirements?
  • Do you have plans for bi-directional replication in the future. What are your specific requirements? Since bi-directional replication can be complex and greatly lengthen a modernization project, the customer generally will perform one bi-directional use case for conceptual proof. Will this suffice for your organization?
  • What are your specific high availability requirements? Can they be handled by a technical discussion, or is a specific use case required?
  • What are your general security requirements for data at rest and data in transit? Do you have any specific security regulations to follow, such as HIPPA or FIPS? What are your PII / data masking requirements?
  • What are your schema requirements? For example, tcVISION creates a default schema based on your input mainframe data. Major changes to the default schema usually require a staging database.
  • Do you have staff available to perform the required tasks for the project? For example, for the length of a tcVISION POC you will need part-time staff, 2-4 hours per day. A part-time mainframe administrator will generally require 2-8 elapsed hours. Other staff will include Windows/Linux/Cloud administrators. 2-4 hours of project management may also be required.
  • Are business data transformations required? tcVISION handles minor transformation via point and click (e.g., date format transformations). Major transformations can require C++ or product scripting.
  • Are there any triggers or stored procedures? tcVISION performs CDC replication processing using a database that utilizes these database features.

Of course, each project will have unique environments, goals, and desired use cases. It is important that specific use cases are determined and documented prior to the start of a project and a tcVISION POC. This planning will allow the Treehouse Software team and the customer develop a more accurate project timeline, have the required resources available, and realize a successful project. 

More About tcVISION from Treehouse Software…

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tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both Cloud and on-premises.

tcVISION acquires data in bulk or via CDC methods from virtually any IBM mainframe data source (Software AG Adabas, IBM Db2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, and sequential files), and transform and deliver to a wide array of Cloud and Open Systems targets, including AWS, Google Cloud, Microsoft Azure, Confluent, Kafka, PostgreSQL, MongoDB, etc. In addition, tcVISION can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix, and PostgreSQL.


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Contact Treehouse Software for a tcVISION Demo Today…

Simply fill out our Product Demonstration Request Form and a Treehouse representative will be contacting you to set up a time for your requested demonstration.

What’s Your Mix?

Real-time and Bi-directional Data Replication Between Mainframes and Virtually Any Target

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tcVISION from Treehouse Software — Enterprise ETL and Real-Time Data Replication Through Change Data Capture (CDC)

Planning a data replication project between Mainframe, Cloud, and Open Systems platforms? tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both Cloud and on-premises.

tcVISION acquires data in bulk or via CDC methods from virtually any IBM mainframe data source (Software AG Adabas, IBM Db2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, and sequential files), and transform and deliver to a wide array of Cloud and Open Systems targets, including AWS, Google Cloud, Microsoft Azure, Confluent, Kafka, PostgreSQL, MongoDB, etc. In addition, tcVISION can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix and PostgreSQL.

Whatever your mix, Treehouse Software has got it covered with tcVISION.


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Moving the right data to the right place at the right time

Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

Where Do You Want to Go?

Enterprise ETL and Real-Time, Bidirectional Data Replication Between Virtually Any Source and Target.

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Planning a data replication project between mainframe, Linux, Unix, and Windows platforms? We now have downloadable data sheets that individually focus on supported data replication sources and targets.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

 

Treehouse Software Customers are Looking Upwards to Mainframe-to-Cloud Data Replication

The search is on for a mature, easy-to-implement Extract Transform and Load (ETL) solution for migrating mission critical data to the cloud.

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Treehouse Software’s tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects, and enabling data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and cloud-based.

Mainframe-to-Cloud Case Use Example…

BAWAG P.S.K. is one of the largest banks in Austria, with more than 1.6 million private and business customers and is a well-known brand in the country. Their business strategy is oriented towards low risk and high efficiency.

BAWAG was looking to reduce the load on their IBM mainframe and as a result, reduce costs. The project involved offloading data from their core database system to a less expensive system, in real-time, and to provide read access from that system to the new infrastructure. The primary motivator for this data migration was the constantly increasing CPU costs on the mainframe caused by the growing transaction load of online banking, mobile banking, and the use of self service devices.

BAWAG ultimately migrated their online banking application to the cloud using tcVISION. Realtime Event-handling, Realtime Analytics, Realtime Fraud Prevention are only a few of the use cases that the bank’s solution currently covers.

BAWAG_Diagram

The bank decided to use tcVISION to migrate z/OS DB2 data into a Hadoop data lake (a storage repository that holds raw data in its native format). 20 Million transactions were made within 15 minutes.

Cost Reductions Seen Immediately

BAWAG is now seeing a 35-40 percent reduction of the MIPS consumption for online processing during business hours. After hours, consumption is less, because it is mainly batch processing on the mainframe. Currently, a volume of approximately 30 GB changed data (uncompressed) is replicated from DB2 per day.

In addition to the primary usage scenario, BAWAG can also cover additional use cases. This includes real-time-event handling and stream processing, analytics based upon real-time data as well as the possibility to report and analyze structured and unstructured data with excellent performance. The system can be inexpensively operated on Commodity Hardware and has no scalability limitations. Compared to the savings, the costs of replication (CPU consumption) of tcVISION are now very low.

Additionally, BAWAG plans to extend the use of tcVISION in the future, including implementation of real-time replication from ORACLE into the data lake.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.