In need of insight? Data warehouse appliances have grown in popularity because of their processing power to offer real-time operational analytics. These systems quickly segment customer demographics, spending levels, buying habits and historical data so you can determine which customers and products are most profitable. All this, without slowing other computing tasks.
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It's always a challenge to apply business intelligence (BI) to extensive amounts of real-time data, but sometimes the most current data is the most useful to analyze. In this insightful discussion, BI consultant John Myers of the Blue Buffalo Group looks at the challenges companies face when they have large quantities of data and real-time data flows.
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If you have too much data that needs to be analyzed quickly, massively parallel processing (MPP) may help. Once the domain of supercomputers, almost any company can now take advantage of the capabilities of MPP, which brings unheard of speed and flexibility so projects that previously took days to analyze now take a few minutes.
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Satori is published by Dataupia, committed to unlocking the power of data for business users with a new class of data warehouse appliance designed for omniversal transparency. Satori is sponsored by the BeyeNETWORK, a comprehensive online resource for business intelligence, business performance management, data warehousing and data quality industry professionals.
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