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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 paper describes expert systems that can help reduce management complexity. Read on to explore more and determine how your organizations' needs can best be met with the right systems.
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This white paper describes challenges organizations face when using MapReduce, and the means by which Platform MapReduce can address them.
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This white paper explains how by partitioning databases based on the lifecycles of the information and compressing historical data, IT departments can reduce their dependency on high-end storage, reduce their incremental storage costs, keep more data online for longer periods, and improve the performance of applications.
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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 helps you manage more data in a cost-effective way. With data volumes tripling every two years, Oracle advanced compression delivers compression rates of 2 to 4 times across all types of data and applications. Read this to learn more about how it can help you reduce the disk space and costs of managing large data volumes.
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The reasons driving standardization in BI and reporting are core to every company—cutting costs, boosting revenue, and increasing profits. IBM Cognos 8 BI lets business users move among capabilities in a guided way, get the answers they seek, and collaborate while giving IT complete control over the BI environment.
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Find out how NoSQL databases can help your company meet the growing amounts of data in a manageable and usable fashion for BI. This paper gives an in-depth example at how MongoDB provides NoSQL benefits, as well as leveraging data in real-time, the benefits of document-oriented data, and examples of how users have implemented this to their BI.
