US 2018/0025037 A1 · Big Data Computing Architecture

Abstract

Raw data is received that characterizes each of a plurality of transactions. The data can be received, for example, via an adapter coupled to at least one data source. At least one first table is populated using the raw data according to a normalized data model. At least one second table is then populated, by applying a key figure data model to transform and enrich the at least one first table, such that it is optimized for data analysis operations. The at least one second table can include a subset of data stored in the at least one first table and additional enrichment data. At least one data analysis operation can later be initiated on the data populated in at least one second table to characterize one or more aspects of the transactions. Data can be provided that characterizes the initiated at least one data operation.

Claims20

Dependent claims

A 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;
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 optimized for data analysis operations and which comprises a subset of data stored in the at least one first table and additional enrichment data;
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.

3 more elements

Dependencies are inferred from the claim text.

Big Data Computing Architecture

Life of this patent

Big Data Computing Architecture

Life of this patent

Abstract

Claims20