Consumes machine data, shop floor data (structured and unstructured), and enterprise data in raw form. Data from relational databases such as RDBMS, semi-structured data and binary data is collected in its original format and pooled into a data lake. This collection of data allows you to scale to data of any size, while saving time of defining data structures, schema, and transformations. Cleansing, de-duplication and aggregation of large amounts of data is performed so as to host a complete set of data sufficient for a 360-degree view of your factory.


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