A gap is emerging among data-savvy professionals, with big-data-analysis and predictive skills trumping routine business-intelligence and information-management talents.
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Trend 7: Big-Data Practitioners Seek 'Data Scientists' Ancestry.com, the popular genealogy website, is a big data shop looking to hire. Scott Sorensen, Ancestry.com's senior VP of engineering, says the company is looking to hire 80 new tech employees in Provo, Utah, and San Francisco. Most new hires will fill routine positions as Web developers, database administrators and the like, but the company is also looking for a dozen big-data-savvy professionals, including a handful of data scientists.
What exactly is a data scientist? It's tough to find an authoritative definition, but Sorensen says it's someone who is "skilled in taking a statistical approach to algorithm development. Many times they're statisticians, and they understand how to create statistical models that allow you to use massive amounts of data to develop algorithms."
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.
InformationWeek Must Reads Oct. 21, 2014InformationWeek's new Must Reads is a compendium of our best recent coverage of digital strategy. Learn why you should learn to embrace DevOps, how to avoid roadblocks for digital projects, what the five steps to API management are, and more.