Big Data is not just More Data

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Most Big Data applications for business purposes use a combination of data sources, structured and unstructured, together with internal transactional data from business systems: for example, melding large-scale cloud-based social media data with CRM data for customer service, or combining high volume/high throughput sensor data with production systems data for predictive maintenance.

In response, many companies are implementing, or considering implementing, a Data Lake: a holistic approach to storing and managing multi-structured data.

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