Microsoft Technology Licensing, LLC

Tableau Software, Inc.

David Robert Potter

Bryan T Starbuck

Evan Michael McLain

Caleb Michael Predmore

Keith Ryan Jones

Zachary Page Woodall

Andrew Herbert Kritzer

Hermann Faith Chong

Zhe Zhang

A method visualizes data sources. A user selects a data source, and the computer system displays a first data visualization according to placement of data fields in shelves of the user interface. The data visualization comprises visual data marks representing the data source. A user selects some of the data marks. In response, the system displays a metric window including a data metric object preview, a summary of the selected data marks, and setting controls. The user provides input to create the data metric object. In response, the system creates the data metric object, including: configuration parameters derived from the first data visualization; an initial extract from the data source according to the configuration parameters; and a schedule for recurring retrieval of data from the data source to update the extract. The system then displays a second data visualization according to the configuration parameters and the extract.

Building data metric objects through user interactions with data marks of displayed visual representations of data sources

The present invention provides for a distributed computing system that is capable of determining when data needs to be synced between two computer devices because data has changed on at least a remote device. More particularly, the present invention provides for a sync adapter that uses sync data to detect that a property on a device is new and needs to synchronize with corresponding data on another machine. The sync data is specific to the two devices in that the sync data mirrors data that was last synchronized between these two computing devices. Other example embodiments use the sync data to detect and mark data as low fidelity data for identifying any date and time information associated with the low fidelity data as potentially unreliable.

Detecting low fidelity sync data

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Bothell, WA, United States of America

David Robert Potter