基于云的分析的重要性观察

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Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.

尽管我们已经看到了所有令人惊叹的创新,但我们仍然在云中的一天;在AWS,我们将继续利用我们的创造力来建立新的工具和服务,以便我们的客户触及我们生活中每个领域的客户更令人兴奋的创新。这些创新中的许多创新将具有重要的分析组件,或者甚至可以完全驱动它。例如,我们在过去几年中,我们在AWS上遇到的创新的许多创新都有重要的分析组件。

I have seen our customers do so many radical new things with the analytics tools that our partners and us make available that I have made a few observations I would like to share with you.

云分析到处都是。There is almost no consumer or business area that is not impacted by Cloud enabled analytics. Often it is hidden from the consumer’s eye as it empowers applications rather than being the end game but analytics is becoming more prevalent. From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics.

For AWS we have seen evidence of this as亚马逊红移我们的数据仓库服务已成为公司历史上增长最快的云服务。我们甚至看到,对于许多业务,亚马逊红星是他们使用过的第一个云服务。采用现在在2015年真正开始爆炸,随着越来越多的企业了解权力分析必须赋予其组织。与许多标准分析工具的集成如画报JaspersoftPentaho还有许多人使红移非常强大。

Cloud enables self-service analytics.在一个组织内的过去的分析中是旧式的旧式巅峰:在专业硬件上运行的集中式数据仓库。在现代企业中,这种情况是不可接受的。分析在帮助业务单位变得更加敏捷中发挥着至关重要的作用,并迅速移动,以应对业务的需求,并建立客户真正想要的产品。但它们仍然被这个集中式,超额认购的旧式数据仓库模型陷入困境。基于云的分析完全改变。

A business unit can now go out and create their own data warehouse in the cloud of a size and speed that exactly matches what they need and are willing to pay for. It can be a small, 2 node, data warehouse that runs during the day, a big 1000 node data warehouse that just runs for a few hours on a Thursday afternoon, or one that runs during the night to give personnel the data they need when they come into work in the morning.

A great example of this is the work global business publication金融时报(FT)做分析。FT超过120岁,改造了如何使用云运行商业智能(BI)工作负载,以完全彻底彻底彻底改变客户对客户的内容,使其能够在所有故事上运行分析,个性化纸张,让读者更具量身定制的阅读体验。通过新的BI系统,该公司能够实时地运行140个故事的分析,并将其敏捷性以从几个月到几天完成分析任务。作为这一的一部分,FT还将他们的BI扩展到更好的目标广告给读者。通过使用Amazon Redshift,他们可以每天处理120米独特的事件,并将其内部日志与外部数据源集成,这有助于为读者创建一个更具动态纸张。所有这一切cutting their datawarehouse cost by 80%

Cloud Analytics will enable everything to become smart.这些天一切都有能力成为“聪明” - 智能手表,智能衣服,智能电视,智能家居,智能汽车。但是,在几乎所有情况下,这种“智能性”在云中的软件中运行而不是对象或设备本身。

无论是您家中的恒温器,手腕上的活动跟踪器,还是美丽的超高清电视上的智能电影建议,都是由云中运行的分析发动机提供动力。由于这些智能产品的所有智能生活在云中,它正在产生新一代设备。这是一个很好的例子是工作飞利浦正在做的是与他们的城市安排产品智能的街道照明。

飞利浦大教堂是一家城市宽阔的街道照明的智能光线管理系统。它提供连接街灯解决方案让整个城市和郊区积极control street lighting to manage the after dark environment in real time. This allows local councils to keep certain streets well lit, to accommodate high foot traffic, bring on lighting during adverse weather, when ambient light dims to a dangerous level, or even turn lighting down, for example in an industrial estate, where there are no people. This technology is already being used in places like Prague and in suburbs of London. CityTouch is using the cloud as the backend technology to run the system and extract business value from large amounts of data collected from sensors installed in the street lights. This data is allowing councils to better understand their cities after dark and employ more efficient light management programmes and avoid too much light pollution which can have an adverse effect on residents and wildlife around cities.

云分析改善了城市生活。Related to the above is the ability for cloud analytics to take information from the city environment to improve the living conditions for citizens around the world. A good example is the work the城市芝加哥市的计算和数据中心是在做。芝加哥市是第一个将传感器带到整个城市的传感器之一,这将永久测量空气质量,光线强度,音量,热量,降水,风和交通。这些传感器流中的数据进入云中,在云中分析,以找到改善公民寿命的方法。来自芝加哥的收集的数据集“一系列的东西“将在云上公布可用于研究人员,以查找分析数据的创新方法。

许多城市已经对芝加哥导致使用云来改善城市生活,许多人在欧洲开始这样做Peterborough City Council在英国。Peterborough市议会正在向当地社区外包创新提供公共数据集。来自理事会的不同数据集正在一起捣碎,在人们正在映射,例如,犯罪数据反对天气模式,以帮助理事会了解如果在热门时有更多的盗窃以及他们应该如何资源当地警察部队。或映射医院入院数据,免受天气来确定趋势和模式。由于云的力量,每个人都可以开放和可供每个人开放创新。

Cloud Analytics enable the Industrial Internet of Things.通常,当我们考虑事情的互联网(物联网)时,我们专注于这对消费者意味着什么。但我们已经看到了不同物联网的崛起 - 工业互联网。工业机械被仪表和互联网连接到将数据流入云端,以获得使用洞察力,提高效率,防止中断。

这是否是通用电气仪表燃气轮机,壳体滴在其油井中的传感器,Kärcher工业清洁机队或启用的施工站点来自解构的传感器,所有这些都将连续数据流发送到云中的实时分析。

云启用视频分析。对于长时间的视频被记录为存档,播放并观看。通过云的无限处理能力,存在新的趋势:将视频视为要分析的数据流。这被称为视频内容分析(VCA),它有许多从零售到运输的应用领域。

A common area of application is in locations where video cameras are present such as malls and large retail stores. Video is analyzed to help stores understand traffic patterns. Analytics provide the numbers of customers moving as well as dwell times, and other statistics. This allows retailers to improve their store layouts and in-store marketing effectiveness.

另一个受欢迎的领域是实时人群分析在大型事件(如音乐会)中,以了解整个场地的运动,并在发生瓶颈之前去除瓶颈,以便提高访客体验。运输部门使用类似的应用来规范流量,在高速公路上检测停滞的汽车,检测高速铁路上的物体​​以及其他运输问题。

另一个创新的例子,将VCA带入消费者域中是DropCam。Dropcam分析视频通过Internet传输的视频摄像机为他们的客户提供了警报。DropCam目前是互联网上最大的视频制作人,比youtube摄取更多视频数据。

VCA也成为体育管理的重要工具。团队正在使用视频分析来处理玩家上的许多不同角度。例如,在高级联赛匹配期间记录的许多视频流被团队使用,以提高玩家性能和驱动特定的训练方案。

In the US video analytics is being used by MLB baseball teams to provide augmented real time analytics on video screens around the stadium while the NFL is using VCA to create automatic condensed versions of American football matches bringing the run time down by 60%-70%.

云转换医疗保健分析。数据分析迅速成为分析健康风险因素和改善患者护理的核心。尽管医疗保健是一个压力降低成本和加速患者护理的地区,但云正在发挥至关重要的作用和帮助医疗保健。

云为创新的解决方案提供更新Phillips Healthsuite.那a platform that manages healthcare data and provides support for doctors as well as patients. The Philips HealthSuite digital platform analyzes and stores 15 PB of patient data gathered from 390 million imaging studies, medical records, and patient inputs to provide healthcare providers with actionable data, which they can use to directly impact patient care. This is reinventing healthcare for billions of people around the world. As we move through 2015 and beyond we can expect to see cloud play even more of a role in the advancement of the field of patient diagnosis and care.

云启用安全分析。通过分析,可以从网上购物到医疗保健到家庭自动化的分析,它变得最重要的是,分析数据保持安全和私密。加密进入存储和分析引擎的深度集成,用户能够带来自己的加密密钥,确保只有这些服务的用户可以访问数据而没有其他服务。

在亚马逊红移数据块,系统元数据,查询和备份的部分结果是加密的使用随机生成的键,那么这是一组密钥用主键加密。此加密是标准操作练习;客户无需做任何事情。如果我们的客户希望完全控制谁可以访问他们的数据,他们可以使用自己的主密钥来加密数据块键。客户可以利用AWS密钥管理服务来安全地管理自己的密钥,该密钥存储在硬件安全模块中,以确保仅客户只能访问键,只有谁可以访问其数据的客户控件。

云使协同研究分析能够。吉姆灰色alreadypredicted in his 4th paradigm大部分研究单词正在从计算模型转换到数据驱动的科学。我们已经通过许多研究人员看到了这一点,使他们的数据集可用于云中的协作实时分析。这些数据集是否来了从火星流媒体要么from the海底那the cloud is the place to ingest, store, organize, analyze and share this data.

有趣的商业示例是相关的序列系统illumina;测序数据直接流到客户可以访问的云BaseSpace, a cloud based market place for algorithms可用于处理其数据。

在AWS,我们很自豪能够为每个人手中的分析工具提供权力。我们谦卑我们的客户已经使用当前的工具集进行了困境。但它仍然是一天;我们将继续在这个领域创新,使我们的客户可以继续做更大的事情。

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