Big Data Whitepapers


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Data warehouse optimization with Hadoop
By Cloudera | 31/10/2014
This whitepaper outlines new reference architecture for data warehouse optimisation to help organisations speed time to value, maximize productivity, lower costs and minimise risk. • Traditional data warehouse environments are overwhelmed by soaring volumes and varieties of data pouring in • An upgrade is not the most effective way to manage an excess of seldom-used data. To keep pace with exploding data volumes, the data warehouse itself needs to evolve. • One emerging strategy is data warehouse optimisation using Hadoop as an enterprise data hub to augment an existing warehouse infrastructure.
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Cloudera & Informatica unleash the power of Hadoop
By Cloudera | 31/10/2014
This whitepaper discusses why an analytics-ready Hadoop-based enterprise data hub platform and advanced integration are critical technologies to take full advantage of big data. • Organizations increasingly recognize the potential of big data to transform their business • One of the biggest challenges associated with big data projects is a shortage of resource skills. • Learn about a solution to increase productivity up to five times with readily available trained developers
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Full-fidelity analytics and regulatory compliance in financial services
By Cloudera | 31/10/2014
This report discusses how the key to optimizing business operations in the financial services sector is maintaining an efficient and comprehensive Big Data infrastructure. • New regulatory compliance laws mean financial services organizations are required to be able to access years of historical data in response to regulators’ requests for information • Federal stress tests have increased the demand for predictability and integrated solutions for capital asset management. • The size, expense, and complexity of data management at this scale easily overwhelms traditional systems
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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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The enterprise data hub in financial services: Three customer case studies
By Cloudera | 31/10/2014
This whitepaper features three financial firms where an enterprise data hub enabled more exploration and discovery of big data, helping decision-makers bring the future of their industries to the present. • For financial services firms, overcoming the frictions related to multi-tenancy on compliant and secure systems is the gateway to advanced Big Data processes • The central, open, and scalable nature of an EDH makes it more akin to a solutions engine • Learn how to minimize opportunity cost and emphasizing integration with a vast and growing ecosystem of relevant technologies and familiar applications
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Western Union implements enterprise data hub on its path to deliver an omni-channel customer experience
By Cloudera | 31/10/2014
Read how Western Union built an enterprise data hub to drive actionable insights that help the company create products and services that are relevant to its customers. • Transformation at Western Union is driven by massive amounts of transactional data • Western Union strives to support and simplify this volume from different channels and devices • Customer experience and security, risk and compliance will benefit from a solution that brings together structured and unstructured data stores
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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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