zData is purpose built to automate mainframe migration.
zData is an API service designed for working with mainframe data sources. zData interfaces natively with IBM Z data assets in real-time and empowers a huge range of data-centric activities such as data discovery, data integration, data migration, BA/BI, and Open Banking.
Available zData functions include LIST (used for data discovery) and READ (used for data unloads). The data unload function supports two response models:
For UPDATE refer to the API's section of this website.
We have two options for API deployment
Our InterActive Adaptor utilises a proprietary ‘no install’ technology. It allows mainframe data and services to be consumed without requiring any code to be physically (or permanently) installed on the mainframe. IA is ideal when mainframe data requirements are ‘on demand’. IA also useful when trialling the API’s for either a proof of concept or pilot projects.
Our RunTime Adaptor provides a lightweight (<1Mb) high performance engine that interfaces natively with mainframe z/OS assets. The RTA is installed on the mainframe and runs as a Started Task (STC). It provides 24/7 data access and operates under the mainframes existing security framework.
Data Compliance in Mainframe Environments
Sector: Banking & Finance
We collaborated with Enov8 to augment the capabilities of their Data Compliance Suite (DCS). DCS is a DataOps platform focused on data compliance and test data management. A key capability of DCS is automated data profiling, masking and validation (PMV). Our connectors enable API access to several mainframe data sources. When these API’s are integrated with DCS, the result is a DataOps platform capable of undertaking PMV on a range of previously unreadable mainframe data sources. To demonstrate this augmented DCS capability, we recently undertook a Pilot Project with a large regulated financial institution. Automating PMV in mainframe environments represents a significant leap forwards in terms of meeting local and international data privacy legislation such as APRA’s CPS 234 or the EU’s GDPR Article 32.
Migrate Mainframe Workloads to the Cloud
Heirloom & Mainframe Cloud became partners in July 2019. Heirloom is the industry's leading solution for automatically refactoring mainframe workloads as 100% cloud-native Java applications. By integrating our zData service with the Heirloom solution we are automating the migration of mainframe assets and data to the cloud with 'one' click. This unique offering will significantly reduce the time required to expedite mainframe migration projects.
Exposing Mainframe Db2 Data
Mainframe Cloud was commissioned to expose Db2 data for a DXC customer in the insurance sector. The exposed data will enable the insurer's customers to view their transaction data via an online web portal. The project highlights Mainframe Cloud's ability to connect natively to mainframe Db2 data and rapidly prototype new functionality in modern web code. The project was 5 weeks duration and is currently being deployed into production. Click on the DXC logo to view the case study.
Mainframe Data Migration
Mainframe Cloud's RunTime Adaptor was integrated with Pentaho (an ETL solution from Hitachi Vantara) to facilitate ingestion of Db2 data from System z mainframes. The RunTime Adaptor is a proprietary web service API that exposes several mainframe sub-systems and data sources as RESTful. Integration with Pentaho facilitates automated migration of mainframe Db2 data to Hadoop or any other mid-tier database at scale with minimal overhead.
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