Welcome!

Python Authors: Pat Romanski, Matt Davis, AppDynamics Blog, Donald Meyer, Liz McMillan

News Feed Item

INNOVATION: software de migración para cintas magnéticas FATSCOPY disponible por intermedio de EMC

INNOVATION Data Processing anunció que ya se puede adquirir su utilidad de migración para cintas magnéticas FATSCOPY a través de EMC®, con los precios especiales de EMC Global Services Practice, para facilitar la instalación o migración a EMC Disk Library e implementar una biblioteca de cinta virtual para mainframe.

INNOVATION Data Processing trabaja con EMC para garantizar que las soluciones de protección de datos, continuidad empresarial y migración de medios de almacenamiento de INNOVATION sean simples, seguras, rápidas y funcionen sin interrupciones en entornos mainframe. FATSCOPY de INNOVATION ha sido utilizado con éxito por usuarios de EMC Disk Library for mainframe (DLm) para facilitar la migración de datos en mainframe durante una instalación nueva de DLmTM. Gracias a que EMC distribuye la solución FATSCOPY, los clientes de EMC podrán adquirir FATSCOPY con total confianza y aprovecharla al máximo en la instalación de sus DLm.

“La mejor forma de garantizar que los equipos de los clientes funcionen con el máximo rendimiento, con la mayor flexibilidad y a bajo costo es mejorar constantemente la capacidad de interacción de las soluciones de INNOVATION y EMC para mainframe”, aseguró Thomas J. Meehan, vicepresidente de desarrollo tecnológico INNOVATION Data Processing. “A medida que los usuarios de mainframe adoptan los sistemas de informática en la nube y tratan de superar los desafíos que presentan los grandes volúmenes de datos, las soluciones con gran capacidad de interacción como FATSCOPY y EMC Disk Library for mainframe los ayudan a manejar el crecimiento geométrico de los datos almacenados y el tiempo que tardan en trasladarlos”.

“Para EMC es una satisfacción ofrecer la solución de migración para cintas magnéticas FATSCOPY como parte de la solución EMC Global Services Practice”, manifestó Al Brandt, vicepresidente de ingeniería en DLm Engineering de EMC Corporation. “Trabajamos constantemente con INNOVATION Data Processing para suministrar soluciones que protegen los datos y mejoran la resistencia y flexibilidad de los negocios de los clientes, además de garantizar que siempre dispongan de la mejor asistencia técnica posible para sus proyectos de infraestructura de la información”.

Acerca de INNOVATION Data Processing

INNOVATION Data Processing es el proveedor independiente de software de alto rendimiento con más experiencia a nivel mundial. Se especializa en protección de los datos empresariales, continuidad de los negocios y soluciones de administración del almacenamiento de la información para mejorar la resistencia y flexibilidad de los sistemas centrales z/OS, Linux en el Sistema z y sistemas distribuidos para organizaciones empresariales. Como única fuente de soluciones que combinan un diseño innovador con las últimas tecnologías de acceso a diversas plataformas, deduplicación y virtualización, INNOVATION se asocia con EMC y otros proveedores de tecnología de almacenamiento para suministrar soluciones complementarias para mainframe y sistemas abiertos que son las más elegidas por las empresas en todo el mundo, que necesitan garantizar la continuidad y la capacidad de adaptación de sus negocios, en particular cuando deben superar el desafío de cumplir más objetivos en el mismo plazo, o en menos tiempo, con menos costos y menos recursos. Para más información acerca de INNOVATION Data Processing, visite el sitio Web www.innovationdp.fdr.com

EMC y DLm son marcas comerciales registradas o sin registrar de EMC Corporation en Estados Unidos y otros países. Todas las otras marcas mencionadas en el presente son propiedad de sus respectivos titulares.

El texto original en el idioma fuente de este comunicado es la versión oficial autorizada. Las traducciones solo se suministran como adaptación y deben cotejarse con el texto en el idioma fuente, que es la única versión del texto que tendrá un efecto legal.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...