Skyward Data

Skyward Data

por VirtualZ
Negocios

Transforming Complex VSAM Files into User-Friendly Formats: CSV, XML, and JSON

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.
28 mar 2025
12:17

Out of the Box ETL: Unlock Mainframe Data Access with PropelZ™

Ready to simplify data replication from your mainframe to the cloud or non-mainframe databases? Tune in to this engaging webinar where we reveal how easy it can be with VirtualZ’s cutting-edge, open architecture solution. Learn how PropelZ™ seamlessly integrates with any database supporting a JDBC driver, enabling smooth, efficient data transfers. Dive deep into PropelZ’s key features and powerful capabilities, and discover how it can transform your data management strategies. Don’t miss this chance to leverage your mainframe data like never before! Watch now!
27 mar 2025
20:17

Seamlessly Integrate Mainframe Data with Power BI, Tableau, Qlik, Google Looker, and More!

Join us for an in-depth look at PropelZ, the no-code solution for seamlessly integrating mainframe data with BI platforms. In this episode Dustin Froyum, Co-founder of VirtualZ, and Vince Re, CTO and Co-founder, demonstrate how PropelZ simplifies mainframe data access and transformation for modern analytics environments. What You'll Learn: 1. How PropelZ enables real-time mainframe data streaming to cloud and BI platforms like Tableau, Snowflake, and Power BI. 2. Key differences between PropelZ and traditional SQL-based solutions like IBM DVM. 3. The architecture of PropelZ and how it eliminates the need for SQL expertise and complex ETL processes. 4. A demo showcasing end-to-end data movement from the mainframe to MySQL and into Tableau in minutes. 5. Cost-effective licensing and pricing details, including enterprise-wide deployment benefits. 6. Use cases beyond BI, such as mainframe tape migration, SMF data streaming, and log management. This podcast is a must for CIOs, IT leaders, and data professionals looking to unlock their mainframe data for business intelligence and cloud analytics. Watch the full session now and see how PropelZ transforms mainframe data access for modern enterprises!
26 mar 2025
51:23

Empowering Data Stores: Simplify Extracting and Loading Mainframe Data into Cloud-based Data Lakes.

In the rapidly evolving IT landscape, the pivotal role of data stores as central hubs for vast volumes of diverse data types cannot be overstated. VirtualZ is modernizing mainframe data access in a simple, efficient, cutting-edge way that is empowering data stores — ensuring they become more than just repositories in today’s modern hybrid cloud environments. During this podcast, we discuss: • Understanding Data Stores: Dive into what constitutes a data store and its significance in today's digital ecosystem. Discover the versatility of data stores in handling everything from structured data like database tables to unstructured data like emails and videos. • Exploring Use Cases Across Industries: Uncover how diverse sectors leverage data stores to drive decision-making, efficiency, and outcomes. Whether it’s retail gaining insights into customer behaviors or insurance streamlining claims processing, learn how data stores serve as the backbone for analytics, machine learning, and more. Discover the specific advantages of VirtualZ software for your data stores. Learn about its incremental, scheduled update functionality that bypasses the inefficiencies of continuous full data set replication, thus fostering agility, supporting intelligent business insights, and delivering impactful results at a fraction of the cost. This podcast illustrates how VirtualZ can transform your data store strategy, ensuring your organization remains at the forefront of innovation and efficiency.
25 mar 2025
19:30

Case Study: Revolutionizing SMF Data Management with PropelZ – Featuring Vince Re

In this installment of Behind the Code: Unfiltered Conversations with CTO Vince Re, we dive into how PropelZ provides a “single pane of glass” solution to seamlessly capture, preserve, and deliver SMF data to any platform where it’s needed. In today’s highly regulated industries like banking and finance, properly managed System Management Facility (SMF) data is not just an operational necessity — it’s a legal requirement. Organizations are tasked with storing, managing, and preserving SMF records, which track every action on a mainframe for potentially many years. The volume of SMF data can be staggering, with larger enterprises producing terabytes of data daily. Managing this data effectively, securely, and at low cost has long been a challenge. Capturing and preserving SMF data is crucial, but the real value comes from leveraging that data across various applications. Many of these applications (such as log management, intrusion detection systems, and AI-driven capacity planning tools) are not hosted on the mainframe. Organizations need seamless access to SMF data in these cloud-based or distributed systems to enable real-time insights, security monitoring, and operational intelligence. Real-Time Data Capture: Whether you have one system or hundreds generating SMF data, PropelZ consolidates it all into a single, unified stream. Seamless Cloud Integration: PropelZ pushes SMF records to a customer’s preferred cloud environment — including AWS, Google Cloud, and Azure — with no need for additional manual processes. The data is securely stored in low-cost cloud storage, ensuring long-term archiving and compliance with regulatory requirements. Cost-Effective Archiving: By utilizing cloud storage, organizations can store SMF data in a highly scalable and secure environment. PropelZ allows for the automatic maintenance of these records in the cloud, ensuring they are readily available for audits, inquiries, or other needs without the high costs associated with traditional storage methods. Data Accessibility & Querying: Once in the cloud, SMF records are stored in a database, making them easily accessible for analysis and reporting. Users can run complex queries such as retrieving all SMF records from specific time frames or performing data analytics for business intelligence — all without needing to manually merge or process data sets. Eliminating Data Loss: One of the key benefits of PropelZ’s real-time integration is its ability to reduce the risk of data loss. Traditional methods, which rely on periodic data set switches, can sometimes lead to small amounts of data being lost if a system crashes. With PropelZ, records are captured as they are written, significantly reducing this risk. PropelZ empowers businesses to correlate mainframe activity with broader enterprise-wide data, offering a more holistic view of security, performance, and operational health.
24 mar 2025
21:46

Zaac™ for Seamless Integration to Cloud, SAN, and Physical Storage.

Zaac™ offers seamless integration to cloud, SAN, and physical storage. Something that wasn't possible until now. Join us to learn more as we discuss how Zaac can help: • Reduce the cost of your mainframe storage by leveraging cloud, SAN, and physical storage. • Improve redundancy by leveraging more than one storage solution.
20 mar 2025
42:37

Zaac™ Preview - Allowing Mainframe Applications to Access Cloud Data Stores

Join Vince Re, VirtualZ Computing's CTO, as he shares a brief preview of the power of Zaac™. Business-critical data is stored in a variety of locations — in the cloud, on SAN devices, or in SaaS applications, just to name a few. Until now, the mainframe has not been empowered with equivalent data access capabilities as these other platforms. That’s where Zaac comes in. Zaac operates under the concept of “IBM Z as a Client” — allowing mainframe applications to read and write data from other platforms in real time the way a client would. Zaac Use Cases: 1. Application Modernization 2. Instant Mainframe Storage 3. Mainframe Tape to Cloud 4. Mainframe Data for Business Continuity and Disaster Recovery Any mainframe application, any type of storage. Zaac removes the barrier between the mainframe and other data sources, allowing mainframe applications to process and update non-mainframe data as if it were stored locally, no matter where it is. It provides mainframe applications with real-time, read-write access to any data, anywhere. And it does this without requiring mountains of code or a complex architecture to maintain – the no-code approach lets you access the data directly and maintain that access easily. Zaac is the only solution that does all this. Any application that can reference local files can reference the cloud or any other non-mainframe data source. That includes apps connecting to low-cost local storage devices sitting right in your own data center. Best of all, you don’t even have to lose any of the mainframe’s classic strengths. You still have full security and the ability to set policies on what apps can reference what data.
19 mar 2025
8:28

Seamless Mainframe Data Integration with Tableau

In this episode, we demonstrate how VirtualZ Computing’s PropelZ product integrates seamlessly with Tableau for powerful business intelligence and real-time data visualization. PropelZ simplifies the process of copying data from IBM Z mainframe systems, such as VSAM files, to hybrid cloud environments. Using JDBC, PropelZ transforms and transfers data, making it accessible for use in cloud-based databases like MySQL. The demo highlights how PropelZ allows you to load, transform, and visualize mainframe data in Tableau with ease, showcasing airports data mapped by latitude and longitude in a dynamic, interactive way. PropelZ eliminates the need for complex data pipelines, automating data migration and enabling the full capabilities of BI tools like Tableau. Watch the full demo to see how easy it is to harness the power of your mainframe data with PropelZ!
18 mar 2025
10:13

Lozen™ for Incremental Application Migration

Lozen™ is the most powerful data access solution to enable application migration on the market today. During this podcast, Dustin Froyum (Co-Founder and SVP of Global Alliances) and Richard Philyaw (Chief Architect) will discuss the power of Lozen for your incremental application migration projects. In addition to a brief demonstration of Lozen's out of the box integration with Micro Focus Enterprise Server, we will review how Lozen will expedite your project while reducing risk, complexity, and cost. Are you migrating some mainframe applications to the cloud while leaving others in place? If so, this podcast is for you! 1. Real-Time Data Access Lozen provides read-write access to mainframe data across hybrid cloud environments without replication, allowing real-time decision-making. 2. Incremental Migration VirtualZ enables phased migration of applications and workloads, reducing the complexity and risks associated with large-scale, multi-year projects. This approach minimizes downtime while providing flexibility. 3. No-Code Integration PropelZ simplifies the extraction and integration of mainframe data into modern databases or data lakes with a no-code utility, eliminating traditional ETL complexities. 4. Eliminate Data Silos Zaac connects mainframe applications to cloud storage, ensuring seamless, secure access to diverse data sources without the need for complex custom architectures. 5. Cloud & On-Prem Compatibility The solution supports integration with cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure, IBM Cloud) and on-premise storage, providing flexibility based on organizational needs. 6. Security and Compliance VirtualZ’s software ensures that all data access and migration activities meet the highest standards of security and compliance, critical for industries with stringent regulations.
13 mar 2025
18:44

Lozen™ Connector for Rocket Enterprise Server (formerly a Micro Focus product) Demo

Out of the Box Data Access with Rocket Enterprise Server (formerly a Micro Focus product) with Lozen. Effortlessly Access Mainframe Data for COBOL Applications Without Code Modifications or Risky Replication. The integration of Lozen with Rocket Enterprise Server allows businesses to: 1. Seamlessly Access Mainframe Data Enable COBOL applications running on distributed platforms (Windows, Linux) to access VSAM data on the IBM Z mainframe without code modifications, ensuring continuity during migrations. 2. Enhance Security and Reduce Costs Keep mainframe data securely on the IBM Z platform without the need for replication, significantly lowering both costs and risks associated with data transfers. 3. Streamline Migration Processes Ensure that COBOL workloads can move to cloud or distributed environments without disrupting data dependencies, leading to faster, safer migrations. 4. Align with Modern Data Strategies Modernize data strategies by leveraging existing mainframe data while integrating seamlessly with cloud environments.
11 mar 2025
3:48
8 de 12