Easy interface to
Amazon Cloud Services
limited only by the complexity
of your project.
Simon started an anonymous social video sharing site for gaming friends that has quickly grown to 100,000 users. The site is even taking on significant of international traffic. He just launched a popular premium feature that logs stats for teams and individuals and his users are eating it up.
The data set has grown from tens of records a day to millions. All the data is stored in a transactional database, and the reports are executed on the same production server. Outages are occurring with increasing frequency and users have started demanding more sophisticated reports that track and analyze game play.
processing power and an extensible platform to manipulate your data.
John is the CTO of a medium sized ad-serving business. Their data collection systems are producing over 40GB of data a day from partners and client websites. John's team intends to utilize the data for improving targeting algorithms. John also needs to integrate several legacy systems in order to compute reports on data from up to 10 years ago.
John needs to implement a flexible reporting solution which requires less hardware and is flexible enough for him to 'play' with the data so he can determine what is worth mining.
Dr. Tell is studying different strains of the common cold through Africa, South America, and Asia. Her collaborators are located on five different continents and with their help she has compiled a database of over 30 million virus samples going back several years.
Dr. Tell has several graduate students helping her analyze the data but progress has been slow, and finding the right technical expertise to manage and analyze the data is challenging. On top of the papers she is writing Dr. Tell is receiving requests from several of her collaborators at other labs to share her data set and participate in projects they are developing.
The doctor needs a solution to analyze and share discrete segments of her data with her students and collaborators.
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