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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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Read this white paper to learn how to save on IT resources while supporting new and existing business applications with Oracle Real Application Cluster (RAC)'s high availability and scalability.
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Maintaining only current active data in production environments improves service levels, increases availability and improves disaster recovery initiatives. Read this paper to learn how archiving allows organizations to reclaim valuable capacity, reduce risk and lower costs.
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For customers running Sybase ASE 12.5 on Solaris 8, the long-planned end of support for that platform means that they must move their workloads to a new environment or face special support contracts. Moving to HP infrastructure brings immediate payback through lower support costs and reduction in power and cooling requirements.
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Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place, built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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This white paper explains how the IBM Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
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This guide outlines the common steps that people go through when they are interested in evaluating an open source database (e.g. one or both of the Postgres Plus products). This guide will also provide links to other documents/collateral that will help you accomplish each step. Read on to learn about these common steps in evaluation in more detail.
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This white paper discusses the growth and challenges of real-time data management and how Oracle TimesTen data management software can help exploit the full performance potential of today's networked, memory-rich computing platforms.
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Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.