The first successful big data technology was enterprise data warehouses that implement massively parallel processing, scale to the petabytes, handle batch and real-time latencies with equal agility, and provide connectors to structured and unstructured sources.

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This means that economies of scale arise on the supply side of the market, on the savings from a larger production batch with the same fixed resources, on gains from improved bargaining power with suppliers.

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