有个足球雷竞技app网络世界里的瑞克·布莱迪 //m.amiribrahem.com EN-US 星期六,2020年4月18日14时46分04秒-0700 星期六,2020年4月18日14时46分04秒-0700 https://idge.staticworld.net/nww/networkworld510x510.png 有个足球雷竞技app m.amiribrahem.com 510 510 https://idge.staticworld.net/nww/networkworld798x288.png 有个足球雷竞技app m.amiribrahem.com 796 288 数据囤积是不是一个可行的策略了 星期三,2018年8月8日七时55分00秒-0700 里克Braddy 里克Braddy <本文> <节课=“页面”>

多年来它一直是正常的做法组织储存尽可能多的数据,因为他们可以。更经济的存储方案与周围大数据的炒作合并鼓励数据囤积的想法,价值将在未来的某一时刻被提取出来。

随着数据分析的进步现在很多企业都是成功的挖掘他们的数据有用的业务洞察力的,但纯粹的正在生产的数据量和需要进行分析准备它是黄金的理由重新考虑你的策略。To balance cost and value it’s important to look beyond data hoarding and to find ways of processing and reducing the data you’re collecting.

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你在这场数据智能游戏中获胜了吗? 星期一,2018年7月30日09:30:00 -0700 里克Braddy 里克Braddy

When big data was hyped as the next technology set to transform the business world many organizations began to collect as much of it as they could lay their hands on. Data centers proliferated as companies sucked in data points from customer interactions, supply chain partners, mobile devices and many, many other sources.

It looked as though enterprises had jumped on board with the idea of big data, but what they were actually doing was hoarding information. Very few had any idea about how to unlock the insights contained within. Businesses that saw the value and pioneered analytics are beginning to see a major return on their investment.

In a global, cross-industry McKinsey survey of 530 C-level execs and senior managers, almost half said that data and analytics have significantly or fundamentally changed business practices in their sales and marketing functions, and more than a third said the same about R&D. Big data can have a major beneficial impact, but realizing those potential benefits requires a winning strategy.

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云数据管理的5个支柱 周一,2018年7月16日8时34分00秒-0700 里克Braddy 里克Braddy <本文> <节课=“页面”>

随着越来越多的企业采用云服务,抓住最新的软件工具和开发方法,它们之间的界线越来越模糊。What really distinguishes one business from the next is its data.

Much of the intrinsic value of a business resides in its data, but we’re not just talking about customer and product data, there’s also supply chain data, competitor data, and many other types of information that might fall under the big data umbrella. Beyond that there are a multitude of smaller pieces of data, from employee records to HVAC system logins, that are rarely considered, but are necessary for the smooth running of any organization. And don’t forget about source code. Your developers are using cloud-based repositories for version control of application code. It also needs to be protected.

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忽视业务数据保护可能是一个代价高昂的错误 星期四,2018年6月28日13:00:00 -0700 里克Braddy 里克Braddy

Data is essential to the smooth operation of any organization. Whether it’s data on your products, customers, or competition, you need it to do business. Your software and systems are dependent on the data that’s fed into them.

Big data may be gathered by IoT sensors in vehicles and buildings, smartphones, and from countless other data points to inform big decisions. But at a granular level you also need small pieces of data to function. Without credentials you can’t gain access to the big data, contact suppliers, or even tweak the air conditioning system.

Our dependence on data is profound, you might say it’s your business DNA because it’s crucial for survival and growth.

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你们公司什么时候会放弃数据中心?雷竞技电脑网站 星期二,2018年6月19日10:24:00 -0700 里克Braddy 里克Braddy <本文> <节课=“页面”>

敏捷和速度是对大多数组织非常重要,因为他们试图创新,从竞争中脱颖而出。需要灵活和快速的可扩展性是推动越来越多的公司进入云计算,传统的数据中心不再被证明是有竞争力,敏捷和足够强大的。

这应该是毫不奇怪,<一个雷竞技电脑网站HREF = “https://www.cisco.com/c/en/us/solutions/collat​​eral/service-provider/global-cloud-index-gci/white-paper-c11-738085.html” 相对= “nofollow”>思科预测的工作负载和计算实例的94%将在云数据中心,到2021年进行处理,而是决定何时采取的飞跃,在权衡成本和风险,并开发一个成功的策略是谈何容易。雷竞技电脑网站Let’s take a closer look at why companies are ditching those data centers and how they can make the transition as smooth as possible.

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建立在云计算数据基础的技术层 星期二,2018 7时31分00秒-0700 5月22日 里克Braddy 里克Braddy

The modern enterprise is comprised of a complex set of application stacks that span a disparate variety of virtual machines, physical servers, and proprietary storage hardware. Tentacles reach from headquarters, branch and remote offices, and offshore facilities around the world to technology stacks, SaaS providers and a multitude of applications.

Over the years layer after layer of technology has accumulated, but rather than replace what came before, we simply built on top through a long series of incremental decisions and implementations. For many, mainframes were bolstered by a client-server layer that moved into data centers. Web technology added SaaS beyond our data centers before virtualization and server consolidation reorganized everything into more manageable chunks.

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要避免7个常见的云数据管理陷阱 周三,2018年5月9日5时56分00秒-0700 里克Braddy 里克Braddy <本文> <节课=“页面”>

有许多令人信服的理由来维护方便迁移应用程序和工作负载的云,从可扩展性,但移动数据是从来没有风险。当IT系统或应用程序走下来就可以证明企业的令人难以置信的昂贵。根据组织98%通过ITIC 调查。

错误是容易使在匆忙竞争。There’s a lot that can go wrong, particularly if you don’t plan properly.

“Through 2022, at least 95% of cloud security failures will be the customer’s fault,” says Jay Heiser, research vice president at Gartner.

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