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Big data computing architecture

  • US 10,353,886 B2
  • Filed: 07/20/2016
  • Issued: 07/16/2019
  • Est. Priority Date: 07/20/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • receiving, via an adapter, raw data characterizing each of a plurality of transactions, the adapter being coupled to at least one data source;

    populating, using the raw data, at least one first table according to a normalized data model;

    detecting changes in the at least one first table using database triggers;

    populating, by applying a key figure data model to transform and enrich the at least one first table, at least one second table that is de-normalized and optimized for data analysis operations, the at least one second table being populated by replicating a subset of data stored in the at least one first table and providing additional enrichment data derived from the application of the key figure data model, the key figure data model defining how key figures are calculated, the additional enrichment data including direct and indirect key figures generated from calculations from data encapsulated in the at least one first table;

    initiating at least one data analysis operation on the data populated in at least one second table to characterize one or more aspects of the transactions; and

    providing data characterizing the initiated at least one data operation;

    wherein;

    the at least one second table is populated in response to the detected changes in the at least one first table;

    the at least one first table is persisted in physical data storage separate and distinct from the in-memory database.

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