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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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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.
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This valuable guide will walk IT and business leaders through the process of setting up a highly available Microsoft SQL Server 2012 environment using the shared infrastructure platform Dell PowerEdge VRTX.
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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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This report compares the costs and compression, automation, workload management, and optimization capabilities of DB2 Advanced Enterprise Server Edition (AESE) versus Oracle Database 11g. It also emphasizes the importance of performance management tooling as a means of lowering total cost of ownership (TCO).
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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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This resource introduces a shared infrastructure designed for remote and small office environments, and discusses its usage as a Microsoft SQL Server database platform.
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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.
