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A new, cost-effective, entry-level appliance, powered by Netezza technology. Learn about this high-performance, scalable, hardware accelerated, massively parallel system that can help you gain insight into your volumes of data.
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View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
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This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution.
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In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
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Read this white paper now and learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP) and mixed workloads.
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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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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 brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
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Access the following white paper to uncover how companies are leveraging new analytics technology and practices to stay ahead of the big data curve. Discover how you can gain the actionable intelligence you need and what you can do to gain a sharper competitive edge.
