VirtualZ Computing

Welcome to the February Issue of Mainframe Access Insights. In this issue, we’re inviting you to?Register?to join Amazon Web Services (AWS) as they demonstrate the seamless integration of VirtualZ’s patented?Lozen solution with Rocket Software Enterprise Developer?and AWS services. What’s Inside This Month’s Issue: Thought Leadership?–?“Eliminating #ChangeDataCapture A Modern Approach to Mainframe Data Access”. Featured Blog:??Unlocking the Power of Mainframe Data with #PowerBI. Customer Testimonial?– “At Mainline Information Systems, we understand that mainframe modernization is critical for enterprises looking to innovate while maintaining stability…” Webinar Series?– Exclusive sessions on?modernizing mainframe data integration. Use Case Spotlight?– Accelerating Mainframe Data Migration with PropelZ?. Podcast Feature?–?Instant Mainframe #Storage.

Migrate #Db2 data to the #cloud for just $50,000/year, with no additional charges for data volume. PropelZ Solves the DB2 Data Challenge with a simple, no-code way to move DB2 data from the mainframe to any cloud or analytics platform, without ETL, manual coding, or failed connectors. "PropelZ is a very straightforward install—you create the ZFS, upload it, untar it, and it's ready to go. It doesn't take much time at all, just a couple of hours to get the product laid down and installed in a testing environment." Jerry Edgington, Senior Solutions and Innovation Consultant, Mainline Information Systems Here’s how it works: 1. Extract DB2 Data Seamlessly:?PropelZ leverages standard IBM DB2 utilities to extract data in the required format, eliminating the need for custom coding. 2. Apply Copybooks for Data Transformation:?PropelZ reads #COBOL copybooks to automatically interpret DB2 records, ensuring seamless #datatransformation. 3. Stream Data to Any Cloud Destination:?DB2 data can be pushed directly to #Databricks, Google #BigQuery, #AWS, #Snowflake, or any cloud #analytics platform. Contact your Mainline Information Systems sales team to learn more! Converge Technology Solutions Corp. https://lnkd.in/gQGj3eki

Migrate IMS data to the cloud for just $50,000/year, with no additional charges for data volume. PropelZ provides a simple, no-code way to move IMS data from the mainframe to any cloud or analytics platform, without ETL, manual coding, or failed connectors. "PropelZ is a very straightforward install—you create the ZFS, upload it, untar it, and it's ready to go. It doesn't take much time at all, just a couple of hours to get the product laid down and installed in a testing environment."?Jerry Edgington, Senior Solutions and Innovation Consultant, Mainline Information Systems. Here’s how it works: 1. Extract IMS Data Seamlessly:?PropelZ leverages standard IBM IMS utilities to extract data in the required format, eliminating the need for custom coding. 2. Apply Copybooks for Data Transformation:?PropelZ reads COBOL copybooks to automatically interpret IMS records, ensuring seamless data transformation. 3. Stream Data to Any Cloud Destination:?IMS data can be pushed directly to Databricks, Google BigQuery, AWS, Snowflake, or any cloud analytics platform. Contact your Mainline Information Systems sales team to learn more! https://lnkd.in/gPs_xW3P

The Biggest Roadblock to #AI-Driven #Modernization: Mainframe Data Access. Despite advancements in AI, modernization projects still struggle with #mainframe #dataaccess. Many mission-critical applications rely on mainframe data, but connecting this data to #cloud-based AI solutions remains one of the most significant challenges in digital transformation. Traditional approaches like ETL (Extract, Transform, Load) and Change Data Capture (CDC) introduce: High costs and complexity:?Custom coding, middleware, and manual tuning inflate costs. Performance degradation:?Mainframe CPU and I/O resources are consumed by data extraction. Security and compliance risks:?Data replication increases exposure to breaches and compliance violations. Data latency issues:?AI and analytics require real-time data, but batch-based CDC processes create delays. These challenges make it difficult for AI-powered applications to seamlessly interact with mainframe data in real time, leading to inefficiencies and stalled modernization initiatives. VirtualZ does not develop AI solutions or modernize applications, but we provide a crucial missing piece — #realtime, #secure access to #mainframedata, eliminating the biggest barrier to #AI-driven modernization. https://lnkd.in/gYZTNfP3

Eliminating the Need for Change Data Capture. As organizations move toward #hybridcloud architectures and modern #analytics platforms, accessing mainframe data in real time is essential. For years, #ChangeDataCapture (CDC) has been the default method for synchronizing #mainframe data with #cloud and distributed systems. However, CDC is an expensive, complex, and high-maintenance solution that requires constant monitoring, manual tuning, and resource-intensive processes. VirtualZ eliminates the need for traditional #CDC by enabling direct, secure access to mainframe data without replication, #ETL pipelines, or ongoing maintenance. Our approach #reducescosts, simplifies operations, and accelerates cloud adoption—allowing enterprises to leverage real-time mainframe data without the headaches of CDC. https://lnkd.in/dWQbEEKp

Transforming Complex VSAM Files into User-Friendly Formats. When it comes to using tools like Microsoft Excel, Crystal Reports, Tableau, or other analytics platforms, customers face two significant barriers: 1. Connectivity. Most modern tools don’t natively connect to mainframe systems, leaving users unable to access their data without significant intervention. 2. Complex Data Formats. Even if tools could connect, they wouldn’t know how to handle the unique and intricate mainframe data types such as VSAM files, packed decimals, mainframe-style floating points, and specialized timestamps. To bridge this gap, organizations often resort to writing custom extract programs or leveraging costly #ETL (Extract,Transform, Load) tools. These approaches are time-consuming, resource-intensive, and prone to maintenance headaches whenever data formats change. VirtualZ's Lozen software solves these challenges with a no-code, out-of-the-box solution designed to make mainframe data as accessible as any other file on your system. Read the blog to learn more! https://lnkd.in/g6VvmMMY #vsam #analytics #Excel, #CrystalReports, #Tableau, #mainframe #data

Welcome to the January Issue of Mainframe Access Insights. This month’s issue highlights our recognition as one of CRN’s 10 Cloud Startups to Watch in 2025, thought leadership on hybrid-cloud storage trends, and a packed Winter Webinar Series. In this issue, explore: Industry Recognition:?VirtualZ’s growing momentum in the hybrid-cloud space. Thought Leadership:?Trends and solutions for hybrid cloud #storage. Customer Success:?#AWS’s experience with Lozen installation. Webinar Series:?Expert insights on modernizing mainframe #dataintegration. Use Case Spotlight:?#VSAM to #Db2 – Make VSAM data instantly available to Db2. Podcast Episode:?Insights from Micro Focus (now Rocket Software) on leveraging Lozen for seamless data access. #ibmz #dataaccess #aws #google #azure

VSAM to Adabas Conversion: Make VSAM data instantly available to Adabas on z/OS or any other JDBC-enabled database. VirtualZ’s new?#VSAM to #Adabas Conversion?solution, simplifying the process of sharing VSAM data with Adabas and enabling businesses to modernize without the complexity of full-scale migration. Configuring PropelZ for Adabas PropelZ connects to Adabas using its standard APIs and communication protocols, enabling seamless automated data transfers from VSAM files. Handling Data Types and Structures PropelZ uses customer-provided metadata (such as COBOL copybooks) to map VSAM fields to Adabas file structures. It automates adjustments for any data type differences, ensuring data is correctly transferred. Automating the ETL Process PropelZ automates the extraction, transformation, and loading of VSAM data into Adabas without requiring manual intervention. It runs from the command line, within scripts, or through standard z/OS JCL and can be scheduled or run on-demand. https://lnkd.in/gQWTciWf #mainframe #dataaccess

Welcome to the December Issue of Mainframe Access Insights!

Join us February 11th and learn how connect your mainframe data directly to Snowflake’s advanced cloud-based data warehousing platform - out-of-the-box. For enterprises leveraging IBM Z mainframes, integrating mainframe data with advanced cloud platforms like Snowflake can be a game-changer. VirtualZ Computing has developed?Mainframe Data Access for Snowflake?to enable seamless connectivity between mainframe systems and Snowflake’s powerful cloud-based data warehousing platform. Based on?#PropelZ?, this integration addresses the growing demand for analytics while eliminating the costly and time-consuming data replication processes often associated with traditional methods. Key Features of the Mainframe Data Access for Snowflake No-Code #ETL:?At the heart of our integration solution is PropelZ, a no-code platform that automates the data extraction and transformation process.?This allows organizations to move data from IBM Z directly to Snowflake for processing and storage without the need for complex coding or manual intervention. #CloudNative Connectivity:?PropelZ is optimized for Snowflake’s cloud-native architecture, ensuring that mainframe data integrates seamlessly with the data warehouse, enabling businesses to take full advantage of Snowflake’s capabilities. Data Security:?#Security is paramount in data management.?VirtualZ guarantees data integrity and security through encrypted connections between the mainframe and Snowflake, maintaining a secure pipeline for sensitive information. In-Flight #DataTransformation:?PropelZ supports in-flight data transformation, preparing mainframe data for analytics pipelines with minimal manual effort.?This means businesses can quickly access and analyze their data without cumbersome processes. #zIIP Eligibility:?By offloading processing tasks to IBM’s zIIP specialty engines, our solution reduces CPU overhead on the mainframe, effectively lowering operational costs and enhancing efficiency. https://lnkd.in/gPm7cxai #hybridcloud #mainframe #dataaccess