Resumen de Big data on small budgets
[...]HADOOP (a software platform for storing and processing data across multiple servers, practically synonymous with Big Data) natively stores all information in triplicate and in different servers to ensure that a single hard-drive failure wouldn't destroy any data. * Faster response time. Because storage space is much more abundant, most organizations elect to create aggregated, high-speed tables, as needed, on top of their transaction data. The executives and owners of such a business may see the opportunity in Big Data; they often mistakenly believe, though, that it's too expensive. [...]they start looking at data warehouses and cloud databases to solve their problems instead.
