Data Domain, Inc.
Business Contact
Beth White
MarketingContact Information
Phone: (408) 980-4800
Phone: (408) 980-4872
Phone: (408) 980-8618
Email: david.sangster@emc.com
Fax: (480) 980-8620
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Business Description
Data Domain, Inc. is located in Santa Clara, California, and was founded in 2005. Annual sales for Data Domain, Inc. are around USD 1,000,000,000.
Employees: 100-250
Revenue: USD 1,000,000,000
Founded: 2005
Questions & Answers
Q1
How long has Data Domain, Inc. been in business?
Data Domain, Inc. has been in business for around 21 years.Q2
What is the phone number for Data Domain, Inc.?
The phone number for Data Domain, Inc. is (408) 980-4800.Q3
Where is Data Domain, Inc. located?
Data Domain, Inc. is located at 2300 Central Expy, Santa Clara, CA 95050-2516.Q4
Is there a primary contact for Data Domain, Inc.?
Beth White (Marketing) at Data Domain, Inc..Q5
Are there other contacts associated with Data Domain, Inc.?
We have 8 additional contact(s) for Data Domain, Inc.. They include: Michael Scarpelli, Frank Slootman, Aneel Bhusri, Ramesh Balan, Bill Cordero, Dale McDuffie, David Sangster & Pratik Wadher.Q6
What are the annual sales for Data Domain, Inc.?
Data Domain, Inc. has annual sales of approximately USD 1,000,000,000.Historical Information
Old business websites and emails that no longer exist, informational purposes only.
www.locked-datadomain.com
Additional Businesses at this Address
2300 Central Expy, Santa Clara, CA 95050-2516
Businesses in Zip Code 95050
Businesses in 95050: 10,569
Population: 36,538
Categories
Shopping: 23%
Professional Services: 14%
Other: 63%
Price
Moderate: 51%
Inexpensive: 29%
Expensive: 13%
Very Expensive: 6%
Other: 0%
Area Codes
408: 94%
Other: 6%
Neighborhoods
Central San Jose: 26%
North San Jose: 19%
Santa Clara: 5%
The Old Quad: 35%
West San Jose: 7%
Other: 7%
Stats and Demographics for Zip Code 95050
Race
White: 54%
Asian: 18%
Hispanic or Latino: 17%
Black Or African American: 2%
American Indian Or Alaskan Native: 0%
Native Hawaiian & Other Pacific Islander: 0%
Other: 8%
Gender
Male: 50%
Female: 50%
Other: 0%