What does it take to move into the era of large-scale data analytics? Data warehousing experts from Barnes & Noble, BNP Paribas, Cabelas, McAfee and more share insights on innovative big-data deployments.
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In-database processing has eliminated time-consuming steps and increased Catalina's same-staff modeling capacity tenfold from 60 models per year up to 600, says Williams. He encourages would-be customers to "look at all new technologies and vendors... to make sure you have the best product for the price point."
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.