Microsoft Technology Licensing, LLC

Eray Chou

Jonathan Campbell

Charles W Parker

Alexander H Malek

Todd Haugen

Zhenguang Chen

Peter Kenneth Harwood

Constantin Stanciu

Mohammed Nazeeruddin

Howard Morrison Crow, Iii

Bradley Stevenson

Howard M Crow, Iii

Sean K Gabriel

Mark E Phair

Christopher Foster Johnson

Peter K Harwood

Howard M Iii Crow

A first database and a second database have different schemas. An activity in a workflow accesses a data item in a list by invoking a method in an interface of a list object. The list comprises a collection of data items. Each data item in the list comprises an item key field specifying an item key. No two data items in the data item collection have item key fields specifying a shared item key. In addition, each data item in the list comprises a set of additional fields. Each field in the set of additional fields has a value derived from the first database or each field in the set of additional fields has a value derived from the second database. In this way, the activity can be implemented without knowledge of the different schemas of the first database and the second database.

Access to line-of-business databases in declarative workflow

A computing device includes instructions that, when executed by a processing unit, cause the processing unit to: create a business data catalog module that accesses and manipulates data residing on an internal data store and an external data store, wherein the business data catalog module receives a request for data, determines whether the data resides in the internal data store or the external data store, and access the data residing on the external data store, and create a external data provisioning module that provisions data accessed from the external data store, wherein the external data provisioning module maps external data from the external data store for presentation on a client computing device. A user can access and manipulate the data from the external data store in a same manner as accessing and manipulating data from the internal data store.

Extending collaboration capabilities to external data

Methods, systems, and computer-readable media implementing various aspects of data retrieval, transformation, data interrelationship inference, and aggregate data view generation are disclosed. The aggregate data view may incorporate data sources from geographically disparate servers, and in different data formats. The aggregate data view may further be converted into HTML and published on the web.

Aggregate data view

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Seattle, WA, United States of America

Eray Chou