Data management Whitepapers


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IT transformation enabled by Hyperconverged Systems
By EMC Corporation | 2/3/2015
Today's IT leaders are faced with a decision: run the status quo or transform the IT infrastructure. This whitepaper looks at how IT executives can how can leverage hyperconverged systems to realise the most material benefits with the least disruption to people, process, and technology. <br> <ul> <li>IDC research highlights that more firms are deploying hyperconverged solutions to not only keep up with business objectives but also satisfy budget and operational demands</li> <li>Four major challenges companies looking to address: improving resource utilisation, staff productivity, disaster recovery and ensuring business agility </li> <li>The differences between reference architectures, integrated systems, and hyperconverged solutions in transformation strategies</li> </ul> </br>
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Single Sign-on: with passwords, less is more
By NetIQ | 8/2/2015
There are many benefits to SSO and many options. But with so many choices, picking the right one can be a real challenge. As you evaluate your choices, however, there are some simple questions you should consider. Download this report and use these questions as your evaluation criteria.
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Intel and Cloudera: Accelerating enterprise Big Data success
By Cloudera | 31/10/2014
This whitepaper explain how uniting leading enterprise analytic data management software with an Intel data centre is the fastest way to achieve industry adoption of Big Data solutions. • In the past few decades, Intel has been a pioneer and the force behind major shifts and advances of technologies • Today, Big Data is one of the most innovative trends in data management and Apache Hadoop is the primary technology. • The power to drive the inflection points in data centre technologies lies with the ability to have software and silicon co-evolve to deliver dramatic gains.
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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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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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Easy-to-Use Business Intelligence for Apache™ Hadoop®
By Cloudera | 31/10/2014
This whitepaper aims to empower business users to extract valuable insights from massive volumes of structured and unstructured data. • Insight and agility are critical in today’s cut-throat business environment. • The ability to derive sophisticated, timely, and data-driven answers from complex business questions is tantamount to achieving and maintaining a competitive edge. • Hadoop, an open-source software platform for distributed data storage, processing, and analysis, has become the de facto standard for Big Data projects.
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Cloudera enterprise reference architecture for AWS deployments
By Cloudera | 31/10/2014
This whitepaper provides an overview of how companies can deploy the most effective enterprise data management system to shorten rest-to-growth cycles and instantly scale their data hubs as business grows. • Data management is best delivered through a single central system to store and work with all data with flexibility and compliance • There is a corporate-wide push to move this powerful data management infrastructure to the Cloud • Customers of Amazon Web Services (AWS) now have the ability to run a flexible enterprise data hub in the AWS public cloud
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