Microsoft Technology Licensing, LLC

Certinia Inc.

Financialforce.com, Inc.

Simon Kristiansen Ejsing

Kevin James Jones

Thomas Hejlsberg

Daniel Christian Brown

Mostafa Balat

Matthew Cox

Gert Willem Robyns

David S Froslie

Søren Lindegaard Grubov

Alexandru Prodan

Andrew Chico

Jesse S Bangs

Leo A Dignan

Paul Shane Ripley

Disclosed herein is a data structure that reduces computational load on a database in querying and visualizing historical values of slowly changing dimensions. The slowly changing dimensions have one or more values associated with them (e.g., a monthly average accounts receivable is a single value, and a set of contact information for an individual may have multiple values). On a periodic basis, database images, also known as 'snapshots' are generated of a current status of a given database. The snapshots are used to build a historical data table that is computationally efficient to reference.

Systems and methods for chronologically agnostic integration and visualization of temporal database changes

Various embodiments relate to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to activate risk management transformations of enterprise data in-situ, responsive to identifying a risk event, and further configured to implement a risk management data channel to facilitate analyses and responses associated with an enterprise computing device. In some examples, a method may include receiving a risk data signal, identifying a portion of the risk data signal, computing data representing a risk level, classifying data associated with a hierarchical business data object in accordance with a risk level, aggregating classified data with other data associated with other business data objects classified as a function of risk to form aggregated data, causing presentation of aggregated data as a function of risk.

Risk management data channel interleaved with enterprise data to facilitate assessment responsive to a risk event

A technique is described for evaluating code at a local computing device before deploying the code to a cloud computing platform to be compiled. In an example embodiment, class files including the code in a programming language associated with the cloud computing environment are loaded by a local computer system, for example, associated with a software developer. The local computer system then parses the code to identify elements in the code and checks the identified elements. Errors in the code are identified based on the checking and are displayed to a user (e.g., the developer), for example, via a graphical user interface of a code editor application.

System and method for evaluating code by a hybrid of local and cloud-based computers

History of slowly changing dimensions

Software development framework for a cloud computing platform

A test interface generator accesses metadata defining a user interface display. The test interface generator generates a strongly typed application programming interface (API) for the user interface display, during compile time, based on the metadata defining the user interface display. A static type checker performs a static type check of each API during compilation of the application. A test system programmatically interacts with the user interface display through the strongly typed API.

User interface display testing system

An item to be processed is received and scanned. The scan identifies any functions or procedures in the item being processed, and extracts actual code representing those functions or procedures. Any invoking functions, which invoke the identified function, are, themselves, identified. Actual code for the invoking function is extracted as well. An output documentation file is generated that includes a name of the identified function or procedure, as well as actual code for the function or procedure, and actual code from at least one example of an invoking function.

Data extraction and generation tool

A data source, such as a database, is modeled using state variables, state, and actions performed on the data source. State variable queries may be automatically generated by generating queries or functions based on intercepting data queries to a data source and using the intercepted data query language. State variable queries may automatically inspect data objects within the data store and automatically generate state variable values. The state variable queries or functions may be executed automatically after an action is run against a data source such that state information is automatically determined. Further, a graphical user interface used to modify, add and delete state information and automatic state variable queries associated with the verification model is described.

Automatic verification of data sources

Growing community of inventors

Redmond, WA, United States of America

Simon Kristiansen Ejsing