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In the years ahead, data driven actions will become more and more sophisticated and will augment work activities and support consumers when they shop, trade, and make decisions. Join this webinar for a discussion of these trends.
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The majority of big data technologies emphasizes the technical significance of new concepts like clustered file systems or in-memory computing. While such technologies are highly relevant for certain big data aspects, they obscure a holistic look at the overall needs for data management and data lifecycle in accordance with the business use case.
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Hybrid cloud drives significant change in IT. Attend this webinar for best practices on change measures and prioritization of such.
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Databases always represent challenges unique to running workloads requiring a maximum of I/O, network, CPU resources combined with data locality. This session covers: (1) Characteristics, performance, value, architecture and operations of database containers; (2) Details on SAP HANA fully containerized; (3) A live demo will feature a database of 1.2 billion rows of data.
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IoT is creating a lot of data. But do you know exactly how much? Especially when IoT solutions evolve while transforming a business for the digital world. Nobody does. - See four key concepts for building agile, scaleable architectures for our digital world.
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Big Data in IoT will grow to a size that is hard to predict; in short: A "Chicken and an Egg" problem. - This presentation covers four related concepts that help address this problem.
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Explore concepts and architecture of database containers in the presentation from Cloud Expo New York 2017. This was one of the best visited sessions at the event.
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The industry is abuzz about containers, microservices and hybrid/multi-cloud environments, leaving many asking “What about my existing applications that live on-premises?” This question is top of mind for IT leaders looking to modernize their applications. The challenge is that “modernization” is usually a code word that means costly, complex and time-consuming
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The teams at Microsoft, SUSE and Ocean9 have joined forces to demonstrate how their combined cloud native SAP-as-a-Service offering for SAP HANA and S/4HANA revolutionizes your SAP service delivery, agility and economics.
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Running heavy state database containers in the cloud is State of the Art. Listen to this webinar recording or review the slides to understand the business benefits, challenges and a save path to leveraging DB containers in production today.
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A group of researchers from the University of Massachusetts Amherst and AT&T Labs stated: “… [that] running DR services using public cloud shown[ed] cost reductions of up to 85% … .” Understand how to leverage public cloud like Amazon Web Services or Microsoft Azure for delivering Disaster Recovery as-a-Service (DRaaS) and achieving such infrastructure cost savings.
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Gartner predicts that “analytics will be pervasive … for decisions and actions across the business.” Sounds like analytics nirvana with instant access for any analysis you want to do, in other words self-service BI. Is this dream or reality?
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Per Forrester Research, "Today's APM system does an adequate job finding performance issues, but leaves businesses in the dark on how to fix those problems". Learn about the importance of Digital Performance Management (DPM) and how it aligns performance management efforts with customer and business needs.
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With the growing implementation of IoT solutions resulting in ongoing streams of data, the data lake concept provides the right amount of rigor, without limiting flexibility as well as broad and open usability in a nevertheless governed fashion. Especially, if implemented in the cloud, the lake will scale with your business, providing you analytics...
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Significant business opportunity and value is created w/in our increasingly connected Digital World. The upside is tremendous! – But wait a minute, what about business continuity and security? And how do I stay nimble? Securing processes that span from sensors to corporate systems in an always on world, is a formidable challenge.
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Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button. What does it mean for the IT architecture of an enterprise?
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Understand how popular open source and vendor provided technologies integrate well, all making key contributions to a successful big data technology. But more important than technology is the business goals you define and aim to achieve. - See many examples in this deck and online presentation.
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Both production and non-production landscapes are massively affected by the rewritten laws of physics in the cloud. One opportunity of Cloud Native Enterprise Architectures is to redefine the approaches to Business Continuity and Disaster Recovery.
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