Sap Se

Daniel Culp

Min He

Vei Ming Seah

Barbara Stortz

Mandar Khadilkar

Phil Tinari

Claudia Lehmann

Michael Alexander

Ricardo Saito

Prajakta Saket Dandawate

Mudit Srivastava

Techniques and solutions are described for providing high-availability computing resources to service client requests. Groups of computing nodes are organized into loops, a given loop being configured to execute a particular subset of tasks, such as tasks with a hash value in a particular ranged serviced by a loop. Computing nodes within a loop can evaluate a task request to determine whether the task request conflicts with another task currently assigned to a node. If a computing node which sent out a task request determines that no conflict was identified, it can execute the task request. Communications within a loop can occur unidirectionally, such that a node which initiated a communication will receive the communication from the last loop node. Loops can be connected to form a ribbon, the ribbon providing a namespace for task execution, where hash ranges for the namespace are uniquely assigned to loops of the ribbon.

High availability cluster management of computing nodes

The present disclosure includes techniques pertaining to computer implemented systems and methods for automatic generation of data transformations. In one embodiment, a user manipulates a spreadsheet of data in a user interface. On a backend, the user's manipulations trigger actions that cause the data to be modified. Actions may automatically cause data flow objects and data flow graphs to be produced. The transformations defined by the data flow graphs are automatically executed by a software engine and the results are displayed to the user. The user may access and manipulate data from a variety of data sources while the underlying complexities of the transformation process are performed in an automated manner.

Manipulating spreadsheet data using a data flow graph

The present disclosure includes techniques pertaining to computer implemented systems and methods for transforming data. In one embodiment, data sources are specified by a user and copies of specified data are received in local storage. Data is presented to the user as a spreadsheet of columns and rows and the user manipulates the data in the spreadsheet. The user manipulations are automatically translated into data flow objects and a data flow graph, which is executed to transform the data. The modified data is presented to the user.

Presenting a selected table of data as a spreadsheet and transforming the data using a data flow graph

Growing community of inventors

Palo Alto, CA, United States of America

Daniel Culp