Skyward Data

Skyward Data

por VirtualZ
Negocios

Unveiling PropelZ™ : The Fast, No Code Utility for Extracting Mainframe Data

It shouldn’t take a major investment of time and money to get a data snapshot for presentation or analysis. The PropelZ™ utility from VirtualZ Computing makes it easy to create a copy of mainframe data right when you need it, for use in hybrid cloud environments. During this podcast you will learn how to use PropelZ to push data from your mainframe directly to your preferred database. Once there, you can use the capabilities you’re already familiar with to transform and analyze your dataset. This process is ideal for times when you don’t need full real-time, read-write access. Push a copy of mainframe data at a fraction of the cost of legacy ETL solutions. PropelZ lets you easily put mainframe data to use in a hybrid cloud environment, taking advantage of the database tools you already know.
6 may 2025
41:56

Top Trends in Mainframe Modernization for 2025

In this episode of Skyward Data, we delve into the pivotal trends shaping mainframe modernization in 2025. As IBM Z systems continue to be central to enterprise operations, the push towards integrating these robust platforms with contemporary technologies becomes imperative. We explore how organizations are:​ Embracing hybrid cloud models to enhance scalability and flexibility. Integrating AI and machine learning to drive predictive analytics and operational efficiency. Adopting DevOps and agile methodologies to accelerate development cycles. Transitioning to microservices and API-driven architectures for improved modularity and integration. Modernizing legacy codebases to align with current technological standards. Enhancing security and compliance measures in response to evolving regulatory landscapes. Leveraging data analytics to derive actionable insights from mainframe data. Focusing on sustainability and green IT initiatives to reduce environmental impact. Investing in skill development to bridge the talent gap in mainframe expertise. Integrating edge computing to process data closer to its source for real-time responsiveness. Adopting open-source solutions to foster innovation and reduce vendor lock-in.​ Discover how VirtualZ Computing's solutions—Lozen™, PropelZ™, and Zaac™—connect, access, and use data faster — fueling smarter decisions and accelerated outcomes. Tune in to gain insights into the strategies and tools that are redefining mainframe modernization in 2025.​
1 may 2025
7:59

Modernize in Place and Optimize Data Access

As the backbone of many enterprise systems, mainframes remain critical to business operations. With Al and data security being top of mind for today's business leaders, effective strategies for data access are also needed. This podcast focuses on secure, real-time, read-write access to mainframe data. The session outlines a comprehensive understanding of the 'modernize in place' concept as it pertains to mainframe systems. We discuss how businesses can innovate with their existing mainframe environments, integrate with modern applications, and improve business agility without the need for total system overhauls or migrations. We also explore strategies for optimizing data access within these robust systems. Explore the exciting potential of mainframe modernization, the critical role of real-time data access, and how these elements can work together to drive your business forward in today's rapidly evolving digital landscape.
29 abr 2025
33:49

Modern Observability for Hybrid Cloud Environments: Expert Insights on Integrating SMF and Management Data with Your SIEM for Advanced Analytics

System Management Facilities (SMF) data serves as a critical asset for organizations utilizing IBM Z systems, acting as a detailed record of system activity, user actions, and operational performance. However, the challenges associated with managing this data, especially in large, complex environments, are considerable. This podcast explores the significance of SMF data, the complexities of managing it, and VirtualZ’s innovative solutions to address these challenges through effective data management strategies, including unified access to various management logs.
28 abr 2025
7:46

The Next Generation of Data Warehousing and Data Lakes

The digital age has unleashed an unprecedented volume of data, transforming it into a critical asset for decision-making, innovation, and competitive advantage. To harness this data, organizations are increasingly turning to data lakes and data warehouses. These modern architectures provide scalable, cost-effective platforms for storing, managing, and analyzing vast amounts of structured and unstructured data. However, as organizations modernize their data strategies, they face challenges in integrating legacy systems, ensuring data quality, and achieving real-time insights. This podcast explores the evolution of data lakes and warehouses, the opportunities they create, and the challenges businesses must overcome to succeed in this new era.
23 abr 2025
8:01

Lozen™ Connector for MuleSoft: Simplified Data Access Directly within MuleSoft

Join Dustin Froyum (CFO) and Richard Philyaw (Chief Architect) for this brief podcast as they discuss and demonstrate how VirtualZ Computing's Lozen™ Connector for MuleSoft integrates easily with Mule — allowing for simplified design data access directly within MuleSoft's development environment. VirtualZ Computing’s Lozen and PropelZ provide essential tools for integrating mainframe data into MuleSoft’s event-driven ecosystem. By simplifying real-time read-write access and data transformation, these solutions ensure that organizations can access and correlate mainframe data with other sources, driving faster insights and improved business agility. Benefits of Lozen and PropelZ to Integrate Mainframe Data with MuleSoft 1. Real-Time Data Correlation: Lozen and PropelZ allow organizations to correlate mainframe data with other event-driven sources in MuleSoft, resulting in better insights and faster decision-making. 2. Simplified Integration: With native connectors and no-code interfaces, Lozen and PropelZ eliminate the complexity of traditional ETL processes, facilitating easier integration into modern cloud ecosystems. 3. Cost and Resource Efficiency: Lozen reduces MIPS consumption by offloading data access tasks, while PropelZ automates data extraction and transformation, minimizing infrastructure and operational costs. 4. Enhanced Scalability: Both Lozen and PropelZ offer flexible, scalable solutions, making it easier for organizations to expand their data access capabilities across platforms as business needs evolve.
22 abr 2025
16:58

Securing Data Access and Governance in a Hybrid Cloud World

In today’s digital-first economy, organizations are rapidly modernizing their IT infrastructures, adopting hybrid and multi-cloud environments to enhance flexibility, scalability, and innovation. However, this transformation introduces unprecedented security challenges. Data breaches, regulatory noncompliance, and governance complexities are critical concerns as organizations expand data access beyond traditional mainframe systems to cloud platforms. Maintaining data integrity, ensuring compliance, and minimizing risk—while enabling seamless access to mainframe data—are vital priorities for enterprises that operate in highly regulated industries. VirtualZ’s solutions, Lozen and PropelZ, address these challenges head-on, providing secure, compliant, and efficient tools for data governance and real-time data access.
21 abr 2025
7:22

Accelerate AI-Driven Application Modernization

In this episode we explore how VirtualZ’s patented data access software enables real-time, out-of-the-box mainframe data access, simplifying or eliminating the need for costly ETL and Change Data Capture (CDC) processes. Discover how VirtualZ empowers organizations to modernize applications faster than ever, bridging the gap between legacy mainframes and modern AI platforms. Key Topics · Real-time data access for AI-driven modernization. · How VirtualZ reduces costs and risks while accelerating innovation. · Customer Use Cases What Experts Are Saying “Lozen was incredibly easy to install and configure. The step-by-step documentation made the process seamless, and with responsive support, everything worked as expected on the first try. Even with our complex AWS and mainframe environment, Lozen integrated smoothly, ensuring secure, real-time data access.” Gilberto Biondo, Sr. Specialized Solutions Architect, Amazon Web Services (AWS) Don’t miss this opportunity to learn how VirtualZ can help your organization unlock the full potential of AI-driven modernization. Bonus: Download our White Paper, AI and Application Modernization, to dive deeper into the topic.
21 abr 2025
42:19

VirtualZ: Any Data. Anywhere. Anytime. Eliminate Data Replication and Change Data Capture.

VirtualZ’s next-generation data access software seamlessly integrates mainframe, cloud, and distributed environments. Our solutions tackle AI, analytics, cloud migration, and compliance challenges without replication or complex migrations. Join Dustin Froyum (Co-Founder and SVP of Global Alliances) and Mark Potts (VP of Global Services) to learn how our suite of products allows you to access data from any platform, anywhere, and leverage that data to power better applications and experiences. Whether you need real-time, read-write access or ad-hoc access, we have the solution to help. VirtualZ Computing™ is the first woman-founded, woman-led, and Native American-founded and -led mainframe software provider in the history of the mainframe industry. The company empowers organizations to innovate and thrive in hybrid cloud environments by delivering easy, consistent, and secure access to their most valuable resource: their data. The challenges companies face in hybrid cloud environments often arise because of data access issues. Running applications across a mixture of mainframe, cloud, and distributed environments proposes many hurdles that introduce added costs, time, data inaccuracies, and security risks Our suite of products allows you to access data from any platform, anywhere, and leverage that data to power better applications and experiences. Whether you need real-time read-write access or a one-time data pull, we have a solution to help. Our suite of products allows you to access data from any platform, anywhere, and leverage that data to power better applications and experiences. Whether you need real-time read-write access or a one-time data pull, we have a solution to help. 1. PropelZ™ makes it simple to create a copy of mainframe data whenever needed for experimentation or analysis in hybrid cloud environments. PropelZ enables organizations to push a copy of mainframe data for just a fraction of the cost of legacy ETL solutions, and it is ideal for use cases that don’t require real-time, read-write access. 2. Lozen™. Our patented product, Lozen™ software, allows you to leave data where it is — securely on the IBM Z platform — eliminating the need to replicate or “lift and shift” data with ETL or Change Data Capture. 3. Zaac™ connects IBM Z mainframe applications directly to cloud storage, allowing organizations to quickly provision additional storage without the need for physical devices or complex configurations. Spin mainframe storage up and down on demand. Whether you need real-time read-write access or a one-time data pull, we have a solution to help.
17 abr 2025
33:45

AI and Application Modernization Trends, Challenges, and the Role of Seamless Mainframe Data Access

Artificial intelligence (AI) has emerged as a critical enabler of application modernization. AI-powered tools are revolutionizing how organizations refactor legacy code, migrate to the cloud, and optimize operational efficiency. The AI-driven application modernization market is experiencing significant growth as organizations increasingly integrate artificial intelligence to enhance and transform legacy systems. In 2024, the global AI software market is projected to be valued at $98 billion, with expectations to reach $391 billion by 2030. Despite the promise of AI, one of the most persistent challenges remains: accessing legacy data stored in mainframe environments. While AI-driven tools can replatform applications and rewrite legacy code, they often struggle to integrate with mainframe data architectures. Traditional methods like Extract, Transform, Load (ETL) processes and Change Data Capture (CDC) introduce complexity, cost, and performance bottlenecks that hinder modernization efforts. VirtualZ Computing addresses this challenge by providing seamless, real-time access to mainframe data for modern cloud and AI environments—without the need for replication, transformation, or ETL pipelines. Although VirtualZ does not develop AI solutions or modernize applications directly, our technology eliminates one of the most significant barriers to modernization: ensuring reliable, secure, and efficient access to mainframe data.
16 abr 2025
8:37
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