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Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
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In this white paper you'll discover what is needed for complete, open, and integrated business intelligence tools and technologies today. Explore the best-in-class capabilities for managing the development lifecycle for BI applications to meet the needs of today's insight-driven organizations.
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Compared to classic hierarchical Ethernet architectures, Ethernet fabrics provide the higher levels of performance, utilization, availability and simplicity required to meet the business needs of data centers today and into the future.
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Today's cloud environment requires a resilient architecture to ensure minimal business impact in the event of outages or failure. Explore this white paper to learn how to design and build the most resilient architecture possible for your business.
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This paper describes new collaboration and business models, and explains how a new kind of architecture strategy empowers businesses to react in real time, adapt quickly to change, and leverage digital ecosystems to create new value and growth.
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Recent reports expose the monumental growth rate of data volumes. With increasing data volumes comes a need for computational power to absorb and analyze all this data in an attempt to gain a competitive edge. This paper attempts to shed some light on the decision process for selecting a specialty analytic server in today's business environments.
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Today’s traditional IT model suffers from resources located in different, unrelated silos—leading to low utilization and gross inefficiency. Enterprise servers reside in one area of the data center and network switches and storage arrays in another. This document describes the design of - and the rationale behind - the Secure Cloud Architecture.
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This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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By providing a common architecture for the 100 MS/s mixed-signal prototyping a test suite of instruments, the SMC enables the instruments to test systems where digital and analog signals are side by side.
