A
Andrew Layman
Researcher at Salesforce.com
Publications - 6
Citations - 1978
Andrew Layman is an academic researcher from Salesforce.com. The author has contributed to research in topics: Finite-state machine & State (computer science). The author has an hindex of 5, co-authored 6 publications receiving 1972 citations.
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Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Jim Gray,Surajit Chaudhuri,Adam Bosworth,Andrew Layman,Don Reichart,Murali Venkatrao,Frank Pellow,Hamid Pirahesh +7 more
TL;DR: The cube operator as discussed by the authors generalizes the histogram, cross-tabulation, roll-up, drill-down, and sub-total constructs found in most report writers, and treats each of the N aggregation attributes as a dimension of N-space.
Patent
Processing events generated by internet of things (IoT)
Aubrey Wing,Tatyana Mamut,Arthur Ping-Tak Che,Tiffany Joy Chin,Amy Kar Sin Poon,Andrew Layman +5 more
TL;DR: In this paper, a state processing network that implements a multi-step progression of monitoring events generated by the IoT devices is presented, which includes compiling into tangible memory, in response to the declarative specification, a state Processing Network that implements both the time-based transition triggers and the event based transition triggers after being initiated by IoT devices.
Patent
Simplified entity engagement automation
Andrew Layman,Eric Hauser,Fleckenstein Matthew John,Mamut Tatyana,Che Arthur Ping-Tak,Chin Tiffany Joy,Poon Amy Kar Sin +6 more
TL;DR: In this article, the authors present a declarative and visualization framework that implements a state machine for multi-step progression of interaction with an entity. But the state machine is automatically generated and visually implemented based on the declARative input provided by a non-technical user.
Patent
Throttling Events in Entity Lifecycle Management
TL;DR: In this article, a declarative framework implements a machine for multi-step progression of interaction with an entity, which is usable for a broad range of applications, including a rule-based authoring tool for specifying elements and components of a complex state machine.
Patent
Simplified entity lifecycle management
TL;DR: In this paper, the authors present a declarative framework that implements a machine for multi-step progression of interaction with an entity, which can be used over and over for a broad range of applications because it provides a simple rule-based authoring tool for specifying different elements and components of a complex state machine.