Listen "Transforming Complex VSAM Files into User-Friendly Formats: CSV, XML, and JSON"
Episode Synopsis
In this episode of the Skyward Data Podcast series "Behind the Code: Unfiltered Conversations with Vince, Re CTO at VirtualZ Computing, we delve into the challenges organizations face when trying to access and analyze mainframe data with modern tools like Excel, Crystal Reports, and Tableau. He explains that while these tools are widely used for analytics and reporting, they often struggle to connect with mainframe data due to its unique formats, such as VSAM files, packed decimal data, and mainframe-specific timestamps.
Vince introduces Lozen, a powerful solution that simplifies this problem by offering seamless, no-code access to mainframe data. With Lozen, businesses can access their mainframe data as if it were stored on any other platform, making it easy to integrate with analytics and reporting tools. Lozen also features a data transformation engine, enabling organizations to convert complex mainframe data into universally understandable formats like CSV, XML, and JSON, ensuring that no matter the tool, the data is ready for analysis.
Additionally, Vince highlights how Lozen’s use of metadata, such as COBOL copybooks, allows users to automatically adapt to changes in data formats without needing to write custom code. This flexibility ensures that businesses can streamline their operations, reduce costs, and eliminate the ongoing maintenance headaches that come with traditional methods of data extraction and transformation.
Tune in to hear how Lozen unlocks the power of mainframe data for business intelligence, analytics, and beyond.
Vince introduces Lozen, a powerful solution that simplifies this problem by offering seamless, no-code access to mainframe data. With Lozen, businesses can access their mainframe data as if it were stored on any other platform, making it easy to integrate with analytics and reporting tools. Lozen also features a data transformation engine, enabling organizations to convert complex mainframe data into universally understandable formats like CSV, XML, and JSON, ensuring that no matter the tool, the data is ready for analysis.
Additionally, Vince highlights how Lozen’s use of metadata, such as COBOL copybooks, allows users to automatically adapt to changes in data formats without needing to write custom code. This flexibility ensures that businesses can streamline their operations, reduce costs, and eliminate the ongoing maintenance headaches that come with traditional methods of data extraction and transformation.
Tune in to hear how Lozen unlocks the power of mainframe data for business intelligence, analytics, and beyond.
