Premier sells access to clinical data it gathers from 400 hospitals to pharmaceutical manufacturers. Last year, the company's IBM Red Brick data warehouse had grown to 3TB, and one table included 3 billion entries. "When you go through 3 billion rows of data, you get long runtimes," says Chris Stewart, director of data warehouse architecture.
The problem wasn't just the size of the database, however, but how clients used the data. "Our users want to access all of the data from top to bottom," says Stewart, and the complex, multipass queries created by Premier's 4,000 users each week were slowing performance. Some wouldn't run at all.
Instead of adding to its 24-processor Solaris server infrastructure or making further attempts to optimize the database, Stewart brought in an all-inclusive data warehouse appliance from Netezza Corp. in Framingham, Mass. Some calculations that took one or two days now finish in six to eight minutes on the appliance's 108 processors. Premier still uses Red Brick for most queries, but the NPS 8150 appliance handles the "really, really ugly questions" that weren't possible to process before, he says. "We couldn't offer the product offerings we do today" without the appliance, Stewart says.
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As data warehouses continue to grow, more users are demanding access to business intelligence (BI) tools to conduct data-mining exercises across large data sets. "We're talking about using every single call-detail record generated in the last three years," says Claudia Imhoff, president of Intelligent Solutions Inc., a consulting firm in Boulder, Colo. It's hard for database administrators (DBA) to create aggregations of data, such as summarizations, that can facilitate the processing of these complex queries because users often don't know in advance what they're looking for. "These unplanned questions are the ones that knock the stuffing out of databases," she says.
But such queries are increasingly seen as business-critical, says William Fellows, an analyst at The 451 Group in New York. "The problem of querying data sets that are growing at over 100% a year has led to what might be called a data warehouse capability gap," he says. While market leaders like Teradata, a division of NCR Corp. in Dayton, Ohio, offer integrated systems to address this for high-end applications, Netezza and others are jumping in with moderately priced systems that don't require the same high-end hardware and software investments as those from IBM, Oracle Corp. and Teradata. 数据挖掘工具
It's an interesting trend but still a small part of the $16 billion market for data warehouse hardware and software, says Dan Vesset, an analyst at IDC.
