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When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
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Consult the following white paper to gain access to an all-inclusive solution to agility. Discover how to enable millisecond answers, provide scalability to the client, and split second decision making within the realm of big data and analytics.
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Read this white paper to discover how an in-memory analytical platform can complement Hadoop, making up for inherent shortfalls from latency and disk access. Receive an introduction to one such solution, designed to tightly integrate with Hadoop and interoperate with all layers of data persistence in an 'Information Anywhere' approach.
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Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
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Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
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This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
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Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.
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By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
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This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
