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WinterCorp
245 First
Street
Suite 1800
Cambridge, MA 02142
Phone:
617-695-1800
Fax: 617-848-3795
Contact us
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WINTERCORP
The large scale data management
experts
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The Challenge
Mutli-terabyte and petabyte data warehouses and analytic data repositories
are increasingly the norm in today's enterprise as data, user communities
and workloads rapidly grow. Success demands that these huge investments
perform as planned to meet critical goals ' and scale cost effectively to
handle emerging needs. Yet the larger the requirement, the greater the risk of
performance and scalability problems.
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The Solution
WinterCorp
is the leading independent consulting firm specializing in the performance
and scalability of today's large scale data warehouses, analytic data repositories and Hadoop clusters. We help
enterprises optimize the value of terabyte- and petabyte-scale data management systems throughout their lifecycle. Our services apply our decades of
experience, proven methods and techniques, product insight, and technical
expertise to ensure that these strategic solutions perform as needed and
scale on demand.
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Read Richard
Winter's
InformationWeek
article on the state of the database management:
State of the Database
AND the new paper by Mark Jeffery and Richard Winter:
Leapfrogging the Competition
Report to the President: Every Federal Agency Needs a Big Data Strategy,
"Virtually
all the objectives of government today require better, faster decisions backed
by key facts and insights — which must often be discovered by analyzing
mountains of data," said Richard Winter, president of WinterCorp, a
consultancy that specializes in very large data solutions. "The stakes are
now too high for the outdated approaches that got us to this point. Most
agencies will need to deploy a range of analytic database tools, including
highly parallel data warehouse platforms, MapReduce and other technologies. It
is crucial that agencies use the right tool for a given requirement. Only a well-defined,
forward looking analytic data strategy will position them to do that."
Read Entire Article in Scientific Computing
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