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亚利桑那州立大学使用 HDP® 来获得洞察力

亚利桑那州立大学(简称 ASU)是美国最大的大学,在 2016 年被美国新闻与世界报道评为“美国最具创新性大学”。ASU 的复杂适应系统计划(简称 CASI)构建了一个基因组 Data Lake,其中包含数百人的数以 PB 计基因数据,从而支持研究基因组中的个别变异体可以如何影响癌症基因的表露,从而可以洞察可能挽救生命的治疗措施。

公共部门受益于数据的能力

公共部门组织面临着从众多不同来源、各种格式的数据中国提取可操作的情报的难题。并且由于资源和预算的约束,这更加困难。利用 Hortonworks 互联数据平台,我们的客户能够以合理价格将其所有数据转变为竞争优势。

使用案例

使用机器和传感器数据来主动维护公共基础设施

Metro Transit of St. Louis (MTL) operates the public transportation system for the St. Louis metropolitan region. Hortonworks Data Platform helps MTL meet their mission by storing and analyzing IoT data from the city’s Smart Buses, which helped the agency cut average cost per mile driven by its buses from $0.92 to $0.43. It achieved that cost reduction while simultaneously doubling the annual miles driven per bus. Hortonworks delivered the MTL solution in partnership with LHP Telematics, an industry leader in creating custom telematics solutions for connected vehicles in the heavy equipment OEM marketplace, transportation, service, and construction fleets. The combined solution is making MTL bus service more reliable–improving the Mean Time Between Failures (MTBF) for metro buses by a factor of five, from four thousand to twenty-one thousand miles.

Similarly, a Department of Defense customer has turned to Hortonworks Connected Data Platforms to enable analytics and preventative maintenance on their fleet of aircraft. With HDP and HDF, the customer is able obtain predictive analytics and actionable intelligence on their platforms. In addition to reduced Total Cost of Ownership, realized results have included tangible improvements in lifecycle management, operational readiness, pilot safety, and supply management.


Enterprise Data Warehouse (EDW) Optimization

The Enterprise Data Warehouse has become a standard component of enterprise data architectures. However, the complexity and volume of data has posed some interesting challenges to the efficiency of the existing EDW solution. Realizing the transformative potential of Big Data depends on an organization’s ability to manage complexity, while leveraging various and disparate new data sources such as social, web, IoT and more. The integration of these new data sources into the existing EDW system is often costly and incredibly complex.

Hortonworks Enterprise Data Warehouse Optimization Solution is the industry’s only turnkey Hadoop-powered Business Intelligence (BI) solution. The EDW Optimization Solutions is powered by Hortonworks Data Platform (HDP®) and technology from partners Syncsort and AtScale. With the EDW Optimization Solution, Public Sector users can extend the value of existing EDW investments and overcome the challenges, risks and costs of introducing new solutions into legacy infrastructure.

The solution can be implemented rapidly, makes fast BI on Hadoop a reality and reduces cost by moving non-critical workloads off the EDW and leveraging the cost-effective archiving in Hadoop.


University Health Care

Difficult challenges and choices face today’s healthcare industry. Researchers, clinicians and administrators have to make important decisions – often without sufficient data. Hortonworks Connected Data Platforms (powered by Apache Hadoop and Apache NiFi) make healthcare data available and actionable.

By partnering with Hortonworks, researchers can access genomic data for new cancer treatments, physicians can monitor patient vitals and sensor data in real time, hospitals can reduce re-admittance rates, and universities can store medical research data forever.


防止欺诈和浪费

Explosive data growth has increased the complexity of government agencies attempting to detect fraud waste in abuse, while also efficiently accomplishing their missions. One federal agency with a large pool of beneficiaries turned to Apache Hadoop and the Hortonworks Data Platform to discover fraudulent claims for benefits. The implementation reduced ETL processing from 9 hours to 1 hour, which allowed them to create new data models around fraud, waste and abuse. After significantly increasing the efficiency of their ETL process, the agency used the surplus processing time and resources to triple the data included in its daily processing. Because Hadoop is a “schema on read” system, rather than the traditional “schema on load” platform, the agency now plans to search additional legacy systems and include more upstream contextual data (such as social media and online content) in its analysis. All of this will make it easier to identify and stop fraud, waste, and abuse.

Smart Cities

With the continuing trend of the connected world and requisite big data needs comes big obstacles and even bigger opportunities. City, Local, and State Governments are challenged with establishing and managing an infrastructure built for connected technologies in an ‘Internet of Anything’ environment. These connected devices (sensors, smart meters, medical devices, road telemetry devices, fleet management sensors, emergency response devices, etc) will generate vast amounts of data that need to be processed in real-time to provide valuable insights and actionable intelligence. Additionally, storage and access of this data can provide historical insights and predictive analytics.

With Hortonworks Connected Data Platforms, Public Sector organizations can build a modern Data Analytics platform that is enterprise grade, highly scalable, and multi-tenant. Using Hortonworks Data Flow (HDF), the data from the various sensors and devices can be collected, aggregated, correlated, and processed in real-time and leveraged to perform a desired task. This data is then stored in the Hortonworks Data Platform (HDP) where large volumes of data at petabyte scale can be stored and processed on commodity hardware at much lower cost than traditional systems. Additional nodes can be added with ease to a cluster as the data demand increases.

Single View of a Resource

Whether a Soldier, a Student, or a Military Aircraft, Public Sector customers are overwhelmed with data from various sources and different formats that are often stored in siloed architectures and requiring unique applications and/or complex translations to simply view the data. Correlation of the data in these environments is both complicated and costly. In many instances these systems have no way of communicating.

With Hortonworks Connected Data Platform, Public Sector customers can build an Analytics Data Platform that enables a Single View capability of both Data in Motion and Data at Rest. Real-time data from sensors and other sources (i.e., social media) is collected, logically correlated, and linked while in flight using Hortonworks Data Flow (HDF). Once collected and correlated, it is stored in Hortonworks Data Platform (HDP) where the unmodified data is retained indefinitely and used for future historical analysis and advanced analytics.

Single view of the resource is implemented and enabled through entity resolution. In this process, disparate pieces of data related to the resource are linked using attributes that are unique to respective resource, such as a serial number, tail number, student ID, or social security number.

客户案例研究

亚利桑那州立大学
客户
亚利桑那州立大学

亚利桑那州立大学 (ASU) 是美国在校学生人数最多的公立大学,在校学生共计 83,000 多名,教职员工 3,300 多名。ASU 特许状于 2014 年由校董会批准,它基于 ASU 校长 Michael M. Crow 创立的”新型美国大学“模型。该特许状定义 ASU 为”一所综合性...

UNOS
客户
UNOS

The United Network for Organ Sharing (UNOS) is the private, non-profit organization managing the United States organ transplant system. UNOS brings together hundreds of hospitals, transplant centers, organ procurement professionals, and thousands of volunteers. The mission of UNOS is to advance organ availability and transplantation by uniting and supporting communities for the benefit of patients…

MITRE 公司改变航空业务
客户
MITRE 公司改变航空业务

MITRE Corporation® 是一家非盈利公司,致力于运作多个联邦政府资助的研发中心 (Federally Funded Research and Development Center,简称 FFRDC)。其中一个 FFRDC 为高级航行系统开发中心 (CAASD),它通过提升美国和全球的航空安全和效率,以更好地为公共大众服务。转变国家...

Metro Transit of St. Louis
客户
Metro Transit of St. Louis

Metro Transit of St. Louis (MTL) 负责运作圣路易斯大都会区的公交系统。该组织的使命是“在对财政负责的前提下提供安全、可靠、亲民、以客户为中心的服务,以满足该地区的通勤需求”。为迎接挑战,提供安全可靠的公交服务,以确保乘客安全和......

加州大学尔湾医院
客户
加州大学尔湾医院

加州大学 Irvine Health 使用 Hadoop 和 Hortonworks Data Platform 提升医院的临床手术质量,以及医学院的科研工作。该医院团队正在构建一个可量化的医疗体统,以降低患者重新入院的情况,加速新型研究项目的开发,并时刻跟踪患者的重要数据。一个 Hadoop 平台,两套不同的......