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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Challenge: SAS analyses sometimes required days of data-prep and processing; Cabela's found ways to take analyses inside Teradata's database for faster processing
Old System: DB2
New System: Teradata
Capacity: 20 terabytes
Deployed: 4 Nodes in 2005, Upgrade to 7 nodes in 2010
Notes: Cabela's converted SAS to SQL before Teradata supported SAS procedures within its database
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.