Many people have asked how to use Python to access mainframe data sourcesโespecially VSAM or IMS data. There are various approaches (direct and indirect), one of the most efficient ways would be using use the Data Virtualization Manager (DVM) ( Introduction to Data Virtualization Manager ) ODBC...
Thank-you to all our IBM community members who contribute content , blogs , and discussions to the IBM Db2 for z/OS and its ecosystem group. If you are a Db2 for z/OS user and not yet a member of the interactive Db2 community we welcome you to join here and begin...
I stumbled upon a nice webinar leveraging IBM's SPSS Modeler to access data on Z within IBM's Cloud Pak for Data. Timothy Han does a great job of walking through the end-to-end process of establishing access to VSAM data on a mainframe using the DVM connector and then proceeds to build out a...
DVM supports IBM core data strategy that offers the flexibility needed for today's hybrid cloud environments. We all know about DVM's BIC capabilities for differentiated access to data residing on the Z platform. We also know that DVM offers a client JDBC Gateway server for outbound access to...
To get an idea of how DVM can be used with IBM's Cloud Pack for Data, take a look at this short video that highlights a hybrid cloud environment that includes data on Z, IBM's Cloud Pack for Data running as a private cloud, and Power BI running from a workstation or public cloud environment. Now...
DVM-CPD2.mp4
Show how to access the SMF Documentation from within the DVM Studio. #Db2Toolsforz/OS #DVMz
IBM Data Virtualization Manager for zOS - HDOC.mp4
The following video walks through this feature, which was introduced into DVM in 2021. https://www.youtube.com/watch?v=hJvs28Yeou0 #Db2Toolsforz/OS #DVMz
Introduction As part of the mainframe modernization movement, many organizations are putting their legacy non-relational data into Db2, so it is under relational database control. Building a relational data model for this data can be very complex and time consuming. It requires a lot of...