Accelerating Digital Transformation On Z Using Data Virtualization
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Accelerating Digital Transformation On Z Using Data Virtualization
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Author : Blanca Borden
language : en
Publisher: IBM Redbooks
Release Date : 2021-04-13
Accelerating Digital Transformation On Z Using Data Virtualization written by Blanca Borden and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with Computers categories.
This IBM® RedpaperTM publication introduces a new data virtualization capability that enables IBM z/OS® data to be combined with other enterprise data sources in real-time, which allows applications to access any live enterprise data anytime and use the power and efficiencies of the IBM Z® platform. Modern businesses need actionable and timely insight from current data. They cannot afford the time that is necessary to copy and transform data. They also cannot afford to secure and protect each copy of personally identifiable information and corporate intellectual property. Data virtualization enables direct connections to be established between multiple data sources and the applications that process the data. Transformations can be applied, in line, to enable real-time access to data, which opens up many new ways to gain business insight with less IT infrastructure necessary to achieve those goals. Data virtualization can become the backbone for advanced analytics and modern applications. The IBM Data Virtualization Manager for z/OS (DVM) can be used as a stand-alone product or as a utility that is used by other products. Its goal is to enable access to live mainframe transaction data and make it usable by any application. This enables customers to use the strengths of mainframe processing with new agile applications. Additionally, its modern development environment and code-generating capabilities enable any developer to update, access, and combine mainframe data easily by using modern APIs and languages. If data is the foundation for building new insights, IBM DVM is a key tool for providing easy, cost-efficient access to that foundation.
Accelerating Digital Transformation On Z Using Data Virtualization
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Author : Blanca Borden
language : en
Publisher:
Release Date : 2021
Accelerating Digital Transformation On Z Using Data Virtualization written by Blanca Borden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This IBM® Redpaper"!publication introduces a new data virtualization capability that enables IBM z/OS® data to be combined with other enterprise data sources in real-time, which allows applications to access any live enterprise data anytime and use the power and efficiencies of the IBM Z® platform. Modern businesses need actionable and timely insight from current data. They cannot afford the time that is necessary to copy and transform data. They also cannot afford to secure and protect each copy of personally identifiable information and corporate intellectual property. Data virtualization enables direct connections to be established between multiple data sources and the applications that process the data. Transformations can be applied, in line, to enable real-time access to data, which opens up many new ways to gain business insight with less IT infrastructure necessary to achieve those goals. Data virtualization can become the backbone for advanced analytics and modern applications. The IBM Data Virtualization Manager for z/OS (DVM) can be used as a stand-alone product or as a utility that is used by other products. Its goal is to enable access to live mainframe transaction data and make it usable by any application. This this what? enables customers to use the strengths of mainframe processing with new agile applications. Additionally, its modern development environment and code-generating capabilities enable any developer to update, access, and combine mainframe data easily by using modern APIs and languages. If data is the foundation for building new insights, IBM DVM is a key tool for providing easy, cost-efficient access to that foundation
Ibm Z Integration Guide For Hybrid Cloud
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Author : Nigel Williams
language : en
Publisher: IBM Redbooks
Release Date : 2020-04-11
Ibm Z Integration Guide For Hybrid Cloud written by Nigel Williams and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-11 with Computers categories.
Today, organizations are responding to market demands and regulatory requirements faster than ever by extending their applications and data to new digital applications. This drive to deliver new functions at speed has paved the way for a huge growth in cloud-native applications, hosted in both public and private cloud infrastructures. Leading organizations are now exploiting the best of both worlds by combining their traditional enterprise IT with cloud. This hybrid cloud approach places new requirements on the integration architectures needed to bring these two worlds together. One of the largest providers of application logic and data services in enterprises today is IBM Z, making it a critical service provider in a hybrid cloud architecture. The primary goal of this IBM Redpaper publication is to help IT architects choose between the different application integration architectures that can be used for hybrid integration with IBM Z, including REST APIs, messaging, and event streams.
Optimized Inferencing And Integration With Ai On Ibm Zsystems Introduction Methodology And Use Cases
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Author : Makenzie Manna
language : en
Publisher: IBM Redbooks
Release Date : 2022-11-30
Optimized Inferencing And Integration With Ai On Ibm Zsystems Introduction Methodology And Use Cases written by Makenzie Manna and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Computers categories.
In today's fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. Furthermore, the use of AI on the IBM® zSystems platform, where your mission-critical transactions, data, and applications are installed, is a key aspect of modernizing business-critical applications while maintaining strict service-level agreements (SLAs) and security requirements. This colocation of data and AI empowers your enterprise to optimally and easily deploy and infuse AI capabilities into your enterprise workloads with the most recent and relevant data available in real time, which enables a more transparent, accurate, and dependable AI experience. This IBM Redpaper publication introduces and explains AI technologies and hardware optimizations, and demonstrates how to leverage certain capabilities and components to enable AI solutions in business-critical use cases, such as fraud detection and credit risk scoring, on the platform. Real-time inferencing with AI models, a capability that is critical to certain industries and use cases, now can be implemented with optimized performance thanks to innovations like IBM zSystems Integrated Accelerator for AI embedded in the Telum chip within IBM z16TM. This publication describes and demonstrates the implementation and integration of the two end-to-end solutions (fraud detection and credit risk), from developing and training the AI models to deploying the models in an IBM z/OS® V2R5 environment on IBM z16 hardware, and integrating AI functions into an application, for example an IBM z/OS Customer Information Control System (IBM CICS®) application. We describe performance optimization recommendations and considerations when leveraging AI technology on the IBM zSystems platform, including optimizations for micro-batching in IBM Watson® Machine Learning for z/OS. The benefits that are derived from the solutions also are described in detail, including how the open-source AI framework portability of the IBM zSystems platform enables model development and training to be done anywhere, including on IBM zSystems, and enables easy integration to deploy on IBM zSystems for optimal inferencing. Thus, allowing enterprises to uncover insights at the transaction-level while taking advantage of the speed, depth, and securability of the platform. This publication is intended for technical specialists, site reliability engineers, architects, system programmers, and systems engineers. Technologies that are covered include TensorFlow Serving, WMLz, IBM Cloud Pak® for Data (CP4D), IBM z/OS Container Extensions (zCX), IBM CICS, Open Neural Network Exchange (ONNX), and IBM Deep Learning Compiler (zDLC).
Ibm Z14 Model Zr1 Technical Introduction
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Author : Octavian Lascu
language : en
Publisher: IBM Redbooks
Release Date : 2018-10-02
Ibm Z14 Model Zr1 Technical Introduction written by Octavian Lascu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-02 with Computers categories.
This IBM® Redbooks® publication introduces the latest member of the IBM Z platform, the IBM z14 Model ZR1 (Machine Type 3907). It includes information about the Z environment and how it helps integrate data and transactions more securely, and provides insight for faster and more accurate business decisions. The z14 ZR1 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to any digital transformation. The z14 ZR1 is designed for enhanced modularity, which is in an industry standard footprint. This system excels at the following tasks: Securing data with pervasive encryption Transforming a transactional platform into a data powerhouse Getting more out of the platform with IT Operational Analytics Providing resilience towards zero downtime Accelerating digital transformation with agile service delivery Revolutionizing business processes Mixing open source and Z technologies This book explains how this system uses new innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and open source technologies. With the z14 ZR1 as the base, applications can run in a trusted, reliable, and secure environment that improves operations and lessens business risk.
Ibm Z15 Technical Introduction
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Author : Bill White
language : en
Publisher: IBM Redbooks
Release Date : 2021-05-03
Ibm Z15 Technical Introduction written by Bill White and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-03 with Computers categories.
This IBM® Redbooks® publication introduces the latest member of the IBM Z® platform, the IBM z15TM. It includes information about the Z environment and how it helps integrate data and transactions more securely. It also provides insight for faster and more accurate business decisions. The z15 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to any digital transformation. The z15 is designed for enhanced modularity, and occupies an industry-standard footprint. It is offered as a single air-cooled 19-inch frame called the z15 T02, or as a multi-frame (1 to 4 19-inch frames) called the z15 T01. Both z15 models excel at the following tasks:: Using hybrid multicloud integration services Securing and protecting data with encryption everywhere Providing resilience with key to zero downtime Transforming a transactional platform into a data powerhouse Getting more out of the platform with operational analytics Accelerating digital transformation with agile service delivery Revolutionizing business processes Blending open source and IBM Z technologies This book explains how this system uses innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and open source technologies. With the z15 as the base, applications can run in a trusted, reliable, and secure environment that improves operations and lessens business risk.
Accelerating Digital Transformation With The Cloud And The Internet Of Things Iot
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Author : Yacine Atif
language : en
Publisher: Elsevier
Release Date : 2025-01-20
Accelerating Digital Transformation With The Cloud And The Internet Of Things Iot written by Yacine Atif and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Computers categories.
Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT) is a reference for IT engineers and decision-makers who may engage in IoT platform pilot projects. The resources covered in this book help establish plans for sustainable operations and management and assist with the long-term procurement of relevant IoT technologies. The aim of the book is to be exhaustive and holistic by pointing out numerous issues and related solution options that guide with daily challenges when deploying and running IoT platforms.The book is divided into three parts where each part includes relevant theoretical chapters and applied case studies. Part One focuses on architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities. Part Two addresses vertical security challenges across IoT platform layers. Finally, Part Three shows how IoT is driving the digital transformation wheel through existing and forthcoming case studies. - Explores how IoT is driving the digital transformation wheel through existing and forthcoming case studies - Investigates architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities - Features supplemental data repository with IoT collected case studies as well as related analytics scripts in Python
Ibm Cloud Pak For Data On Ibm Z
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Author : Jasmeet Bhatia
language : en
Publisher: IBM Redbooks
Release Date : 2023-07-11
Ibm Cloud Pak For Data On Ibm Z written by Jasmeet Bhatia and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-11 with Computers categories.
Most industries are susceptible to fraud, which poses a risk to both businesses and consumers. According to The National Health Care Anti-Fraud Association, health care fraud alone causes the nation around $68 billion annually. This statistic does not include the numerous other industries where fraudulent activities occur daily. In addition, the growing amount of data that enterprises own makes it difficult for them to detect fraud. Businesses can benefit by using an analytical platform to fully integrate their data with artificial intelligence (AI) technology. With IBM Cloud Pak® for Data on IBM Z, enterprises can modernize their data infrastructure, develop, and deploy machine learning (ML) and AI models, and instantiate highly efficient analytics deployment on IBM LinuxONE. Enterprises can create cutting-edge, intelligent, and interactive applications with embedded AI, colocate data with commercial applications, and use AI to make inferences. This IBM Redguide publication presents a high-level overview of IBM Z. It describes IBM Cloud Pak for Data (CP4D) on IBM Z and IBM LinuxONE, the different features that are supported on the platform, and how the associated features can help enterprise customers in building AI and ML models by using core transactional data, which results in decreased latency and increased throughput. This publication highlights real-time CP4D on IBM Z use cases. Real-time Clearing and Settlement Transactions, Trustworthy AI and its Role in Day-To-Day Monitoring, and the Prevention of Retail Crimes are use cases that are described in this publication. Using CP4D on IBM Z and LinuxONE, this publication shows how businesses can implement a highly efficient analytics deployment that minimizes latency, cost inefficiencies, and potential security exposures that are connected with data transportation.
Ibm Z14 3906 Technical Guide
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Author : Octavian Lascu
language : en
Publisher: IBM Redbooks
Release Date : 2018-12-17
Ibm Z14 3906 Technical Guide written by Octavian Lascu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-17 with Computers categories.
This IBM® Redbooks® publication describes the new member of the IBM Z® family, IBM z14TM. IBM z14 is the trusted enterprise platform for pervasive encryption, integrating data, transactions, and insights into the data. A data-centric infrastructure must always be available with a 99.999% or better availability, have flawless data integrity, and be secured from misuse. It also must be an integrated infrastructure that can support new applications. Finally, it must have integrated capabilities that can provide new mobile capabilities with real-time analytics that are delivered by a secure cloud infrastructure. IBM z14 servers are designed with improved scalability, performance, security, resiliency, availability, and virtualization. The superscalar design allows z14 servers to deliver a record level of capacity over the prior IBM Z platforms. In its maximum configuration, z14 is powered by up to 170 client characterizable microprocessors (cores) running at 5.2 GHz. This configuration can run more than 146,000 million instructions per second (MIPS) and up to 32 TB of client memory. The IBM z14 Model M05 is estimated to provide up to 35% more total system capacity than the IBM z13® Model NE1. This Redbooks publication provides information about IBM z14 and its functions, features, and associated software support. More information is offered in areas that are relevant to technical planning. It is intended for systems engineers, consultants, planners, and anyone who wants to understand the IBM Z servers functions and plan for their usage. It is intended as an introduction to mainframes. Readers are expected to be generally familiar with existing IBM Z technology and terminology.
Accelerating Product Development Cycles With Digital Twins And Iot Integration
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Author : Mamodiya, Udit
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Accelerating Product Development Cycles With Digital Twins And Iot Integration written by Mamodiya, Udit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Business & Economics categories.
In today's market, accelerating product development cycles helps businesses gain a competitive edge and meet consumer demands. The integration of digital twins and Internet of Things (IoT) technologies has emerged as a transformative solution, enabling organizations to streamline their design, testing, and production processes. Digital twins allow real-time simulation and monitoring, providing valuable insights into performance, potential issues, and design optimizations. When coupled with IoT businesses can gather continuous feedback throughout the product lifecycle. This accelerates innovation, enhances product quality, and minimizes costs by identifying inefficiencies. By leveraging these technologies, companies can optimize their development cycles and deliver smarter, more reliable products to meet the needs of the marketplace. Accelerating Product Development Cycles With Digital Twins and IoT Integration explores the transformative potential of cutting-edge digital twin technologies in advancing data analytics and the Internet of Things (IoT). It provides a comprehensive analysis of how digital twins enable real-time monitoring, predictive insights, and enhanced decision-making by bridging the physical and digital worlds. This book covers topics such as computational engineering, algorithms, and blockchain, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.