Big data platforms represent a tidal shift in the way organizations capture, store and process data. Designed to process high volume of a multi-structured data in batch or real time, they consist of an ecosystem of components ranging from file systems, databases, and server arrays, to a variety of data processing and analytical languages and engines, to management, governance, and administrative tools.
Many big data platforms combine both relational and non-relational technology, while some rely primarily on Hadoop and NoSQL. Some run exclusively within corporate data centers, and others only in the cloud. Most require in-house technical experts to install, configure, tune, and manage the big data platforms, while an emerging class of cloud services providers installs and operates big data on behalf of subscribers customers.
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