Big Data Job Opportunities Abound in San Francisco, Boston, St. Louis - Data Storage - News & Reviews - eWeek.com | eWeek

San Francisco

San Francisco
Écrit par
Nathan Eddy
Nathan Eddy
Aug 9, 2012
2 minute read
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San Francisco

1

San Francisco leads the pack when it comes to offering the best opportunities for a career in big data, according to the report.Photo Credit: Digon3


McLean, Va.

2

Located in the Washington, D.C., metropolitan area, McLean  took second place on the list due to its array of commercial- and government-related data center operations.Photo Credit: BenjPHolm


Boston

3

New England’s largest city placed third in the rankings due to the large number of banking, biology and pharmaceutical industries located within the city.


St. Louis

4

Following in fourth place on the list of big data cities was the Gateway City, home to a variety of research universities.Photo Credit: Daniel Schwen


Toronto, Ontario

5

Rounding out the top five was the only Canadian city on the list, Toronto, where risk-averse financial institutions require business intelligence (BI) solutions. Photo Credit: Chris McPhee


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Retail, Insurance, E-Commerce

6

Companies in these sectors typically run large analytics on their customers in how they use their services and products.Photo Credit: BrokenSphere


Government Data Centers

7

Database and data management positions for government integrators are in demand in the Washington, D.C., metro area, including McLean.Photo Credit: 123net


Pharmaceutical and Banking

8

In Boston, banking, biology and pharmaceutical industries, which are looking for analysis and reports of large amounts of data that are detailed and complex in nature, drive big data job opportunities.


Research Universities

9

Research-based institutions like the universities found in St. Louis drive demand in data analyst or scientist roles.


Financial Institutions

10

Risk-averse financial institutions require BI solutions to help determine a company’s operating costs, customer habits, spending habits and patterns, and liabilities.

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