Storage Whitepapers


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Unlock the business value of archived data
By Cloudera | 31/10/2014
This report shows how success in an ever-competitive data-driven market requires flexible, massively scalable data management systems that grow with your business. - Unstructured data, much of it generated by machines or sensors, accounts for more than 90% of data today - Organisations often struggle to manage that data in Hadoop despite its benefits - The enterprise data hub is a transformative active archive solution helping enterprises gain more insight across all their data to make more informed decisions
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Cloudera and Pentaho
By Cloudera | 31/10/2014
To win in a competitive marketplace, organizations must combine a variety of data from many sources to extract real, actionable insight. This whitepaper explains how. - Enterprises today are collecting and generating more data than ever before - Business users ask more sophisticated questions and explore data at a level of detail that can tax existing data manage¬ment systems. - With an enterprise data hub, leading organizations are changing the way they think, transforming data from an expense to an asset
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Explorys: Improving healthcare quality & costs using a Big Data platform
By Cloudera | 31/10/2014
Read how medical firm Explorys integrated clinical, financial, and operational data in order to improve delivery of care, resulting in better health outcomes and reduced costs. - Healthcare workers relied on IT departments to understand something about data, waiting days or weeks for results - Explorys sought to bring clinical, financial, and operational data into a single, enterprise data hub - Hadoop is a cost-efficient technology that helped address these big data challenges
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Evolving data warehouse architectures in the age of Big Data
By Cloudera | 31/10/2014
Big data is a major driver of change with its burgeoning size, sources, frequency of delivery, and diversity of structures. This report discusses how data warehouse architectures are evolving. - The adoption of advanced analytics and real-time operation influences data warehouse architectures - Given the rising complexity, DW architecture is more critical than ever in order to make sense of, govern, and optimize complicated multi-platform DWEs - Research was conducted via interviews with industry experts and leading-edge user companies
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Cloudera delivers Hadoop in the AWS Cloud
By Cloudera | 31/10/2014
Customers of Cloudera and Amazon Web Services (AWS) now have the ability to run the Enterprise Data Hub in the AWS public cloud. - Organization’s want to acquire and combine data to deliver real-time insights to all kinds of users - The Enterprise Data Hub has the flexibility to run a variety of enterprise workloads while meeting enterprise requirements - This joint solution combines large-scale data management/analytics with expertise in cloud computing
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Three factors entrenching Big Data in financial services
By Cloudera | 31/10/2014
The definition of Big Data is rapidly changing within the financial services industry—pivoting from a measure of volume, variety, and velocity to an evaluation of systems-enabled strategy. - The most important issues relate to the potential of analysing full data sets spanning multiple silos - Successful data-driven firms use modern infrastructure to go beyond future-proofing the data centre against larger operational efficiency demands - Technology and competition are forcing wholesale banks to prioritize core competencies and market fit
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Grow your analytics maturity
By Tibco | 12/9/2014
This paper explains why, with big data, it’s not about the type, amount or speed of data, but rather what we do with that data and the speed at which we do it. • Business intelligence reports and dashboards simply won’t give you with the level of detail and agility you need • Analytics can help gain a competitive advantage, but developing analytics maturity will help sustain that • This paper walks through each step of the analytics maturity journey, providing insights into the capabilities and tools to consider
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Continous application availability with EMC VPLEX
By EMC Corporation | 8/9/2014
A growing number of organisations are using off the shelf technologies to stretch application processing and data access for continuous application and availability. This paper describes how deployment models for applications work. Enterprises are consolidating high availability and data recovery practices and technologies to achieve continuous availability that provides users with uninterrupted access to data and applications The right solution provides data coherency across distance for simultaneous access to the same data in multiple locations Organisations need to be able to trust that the data and applications it depends on will continues to be available and operate, through both planned and unplanned outages
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EMC Asia Pacific and Japan- The business value of data protection
By EMC Corporation | 8/9/2014
This infographic based on research by IDC details how businesses in Australia, Pacific and Japan can come out on top against tremendous pressure to reduce capital expenses, while maximising existing investments and improving utilisation and efficiency. • APJ businesses suffer longer retention periods, increased scrutiny of stored data and the need for greater leverage, storage and protection • 81% companies lack recovery confidence, while 71% have experienced data loss in last year • Overarching storage management services add value and the oversight the business needs, with average cost savings of US$2.6 million annually
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Assessing the business value of EMC backup and recovery
By EMC Corporation | 8/9/2014
In this White Paper, IDC offers up some quantifiable benefits that Asian enterprises have observed as a result of deploying backup and recovery solutions. · Many enterprises are finding that the backup and recovery processes and technologies that they have implemented have not kept pace with the demands of the business · IDC identifies how organizations can experience savings and improvements from the deployment of different types of technologies · The benefits fall into three categories: storage environment cost savings; end-user productivity enhancements; and IT staff productivity optimization
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