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With IBM Informix Warehouse and the Intel Xeon processor E7 family, IBM and Intel are partnering to deliver superior performance for in-memory analytics processing – helping you turn massive amounts of data into business opportunities.
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This white paper discuses the benefits of consolidating data and retiring (or decommissioning) redundant or older systems to improve overall operational management costs.
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To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
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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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EMC is the leading enterprise storage platform for SAP, making it ideal for your SAP HANA solution. Click here for more reasons why EMC is the natural choice when it comes to your SAP HANA deployment.
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Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
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Businesses are experiencing a growing demand to move high volumes of data both internally and externally. File transfer protocol (FTP) servers are proliferating among individual departments and raising traffic levels with customers and suppliers. This white paper explains and explores the opportunity and benefits of FTP consolidation.
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This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization.
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You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.