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By: IBM     Published Date: Nov 14, 2014
Join Gartner, Inc. and IBM Platform Computing for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.
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By: IBM     Published Date: Nov 14, 2014
Platform Symphony is an enterprise-class server platform that delivers low-latency, scaled-out MapReduce workloads. It supports multiple applications running concurrently so that organizations can increase utilization across all resources resulting in a high return on investment.
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By: IBM     Published Date: Nov 14, 2014
Platform HPC enables HPC customers to side-step many overhead cost and support issues that often plague open-source environments and enable them to deploy powerful, easy to use clusters.
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By: IBM     Published Date: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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By: IBM     Published Date: Feb 13, 2015
This demonstration shows how an organization using IBM Platform Computing workload managers can easily and securely tap resources in the IBM SoftLayer public cloud to handle periods of peak demand and reduce total IT infrastructure costs.
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By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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By: IBM     Published Date: Feb 13, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers automated, policy-driven, application-aware storage services through orchestration of the underlining storage infrastructure in support of an overall software defined environment.
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By: IBM     Published Date: Feb 13, 2015
IBM® has created a proprietary implementation of the open-source Hadoop MapReduce run-time that leverages the IBM Platform™ Symphony distributed computing middleware while maintaining application-level compatibility with Apache Hadoop.
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By: IBM     Published Date: Feb 13, 2015
In the age of "big data," it's essential for any organization to know how to analyze and manage their ever increasing stores of information. Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
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By: IBM     Published Date: Feb 13, 2015
Organizations of all sizes need help building clusters and grids to support compute- and data-intensive application workloads. Read how the Hartree Centre is building several high-performance computing clusters to support a variety of research projects.
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By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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By: Google     Published Date: Oct 26, 2018
This Forrester research looks at how 7 full-stack public cloud development platform providers perform against a 31-criteria evaluation. The most important vendors — Alibaba, AWS, CenturyLink, Google, IBM, Microsoft, and Oracle — were researched, assessed, and scored. Download the complete report and find out how each provider measures up and helps application development and delivery professionals make the right choices.
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By: Group M_IBM Q418     Published Date: Sep 10, 2018
Far from being a soft issue, trust underpins the management of your digital business and digital ecosystems. This report highlights how trust is fundamental to your digital transformation. It focuses on the role of trust in the B2B context and analyzes the key technologies, processes, and operational values that CIOs and their teams must use to build and maintain trusted ecosystem partnerships.
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By: Group M_IBM Q418     Published Date: Sep 10, 2018
The way that people and companies leverage IT is in the process of a revolutionary change. To maintain a competitive edge in the face of an unrelenting pace of innovation, opportunity creation and environmental turmoil, organizations must exploit the provisioning of IT resources to facilitate new ways of doing business. And whether you’re talking about the increase in mobile technologies, the Internet of Things or some other transformative technology, cloud is at the forefront and the heart of this change
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By: Group M_IBM Q418     Published Date: Sep 10, 2018
All of cyberspace and its underlying infrastructure is vulnerable to a wide range of risk and exposure from both physical and cyber threats and perils. Sophisticated cyber individuals and groups exploit standalone and congregated vulnerabilities to steal money and information, or disrupt, endanger and damage operations. The combination of wide opportunity for crime in cyberspace and the ability to execute from geographically-dispersed locations has produced a transformation of traditional criminal activities.
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By: Group M_IBM Q418     Published Date: Sep 24, 2018
A multi-cloud world is quickly becoming the new normal for many enterprises. But embarking on a cloud journey and managing cloud-based services across multiple providers can seem overwhelming. Even the term multi-cloud can be confusing. Multi-cloud is not the same as hybrid cloud. The technical definition of hybrid cloud is an environment that includes traditional data centers with physical servers, private cloud with virtualized servers as well as public cloud provisioned by service providers. Quite often, multi-cloud simply means that an organization uses multiple public clouds from many vendors to deliver its IT services. In other words, organizations can have a multi-cloud without having a hybrid cloud, or they can have a multi-cloud as part of a hybrid cloud.
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By: Group M_IBM Q418     Published Date: Sep 24, 2018
Take a look at the IT ecosystem of any company today and there’s a good chance you’ll find it includes offerings from several cloud services providers. That’s certainly the case at mid- to large-sized companies with at least 500 employees, according to a recent survey conducted by IDG Research. The survey of 100 senior IT professionals found that 59% are already multi-cloud adopters — that is, using computing and storage services from two or more cloud providers. Another 31% of respondents say they plan to become multi-cloud organizations in the coming 12-24 months, with only 10% still in the “consideration” phase.
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By: Group M_IBM Q418     Published Date: Oct 02, 2018
Across enterprises of all kinds, data is multiplying rapidly in both quantity and variety. Across multi-cloud environments, new sources are exponentially increasing the growing stream of information, including the Internet of Things, social media, mobile devices, virtual reality implementations and optical tracking.
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By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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By: Group M_IBM Q418     Published Date: Oct 23, 2018
The General Data Protection Regulation (GDPR) framework seeks to create a harmonized data protection framework across the European Union, and aims to give back EU citizens control of their personal data by imposing stricter requirements for those hosting and processing this data, anywhere in the world. IBM is committed to putting data responsibility first and providing solutions that are secure to the core for all customers. As such, IBM Cloud has fully adopted the EU Data Protection Code of Conduct for Cloud Service providers – meaning we agree to meet the entirety of its stringent requirements.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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By: Group M_IBM Q418     Published Date: Oct 23, 2018
Trust can be viewed as a key factor amongst clients and service providers working together towards preparing for readiness with the EU General Data Protection Regulation (GDPR). These stringent regulations come into force in May 2018 to ensure that personal data is processed adhering to strict privacy and security requirements.
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By: Group M_IBM Q418     Published Date: Oct 24, 2018
This study looks at what's driving container adoption, highlights key challenges and explaining the benefits.
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By: Group M_IBM Q418     Published Date: Oct 24, 2018
After moving traditional workloads to public cloud, most customers realize they must replace many of them with cloud-native alternatives to reap the full benefits. Technology product management leaders must deliver cloud-native offerings now to capture business opportunities and avoid irrelevancy.
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By: Group M_IBM Q418     Published Date: Oct 24, 2018
Evaluating cloud providers and looking for a trusted technology partner? Focus on these five vital aspects of cloud security.
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