Accenture Global Services Gmbh

John Mills Akred

Scott Kurth

Sanjay Mathur

Sewook Wee

Peter Zei-Chan Yeh

John Y Miller

Younes Souilmi

Gaëlle Le Roux

Erin Maneri

Thorvald Hoyem

Gaelle Le Roux

Methods and apparatuses are provided for storing graph data within a column-oriented data store. Graph data including vertex data describing one or more vertices in the graph and edge data describing one or more edges within the graph may be received. One or more vertex rows within the column-oriented data store may be assigned, whereby each vertex row of the one or more vertex rows is assigned to one vertex of the one or more vertices. One or more edge rows within the column-oriented data store may also be assigned, whereby each edge row of the one or more edge rows is assigned to one edge of the one or more edges. At least one vertex row and at least one edge row may be populated based on the graph data.

Storing graph data in a column-oriented data store

System, methods, and apparatuses are provided for processing incoming data using a plurality of mapper modules and at least one reducer module. Incoming data may be processed to provide mapped data. The mapped data may be processed to provide reduced data. A feedback message may be generated. The feedback message may include data describing a suggestive configuration value to be applied when processing the incoming data.

Feedback system and method for processing incoming data using a plurality of mapper modules and reducer module(s)

A method, in one embodiment, can include encoding knowledge about a topic domain into a data modeling technique. Additionally, a set of candidate conditional functional dependencies can be generated based on a data set of the topic domain. Moreover, the set of candidate conditional functional dependencies and the data modeling technique encoded with the topic domain knowledge can be applied to the data set to obtain a plurality of data quality rules for the data set.

Data quality enhancement for smart grid applications

Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.

Methods and systems for analyzing energy usage

Growing community of inventors

San Jose, CA, United States of America

John Mills Akred