Abstract: Embodiments of the present disclosure pertain to network based machine learning generated simulations. In one embodiment, the present disclosure includes a computer implemented method comprising sending first code comprising a programmable calculator from a server system to a client system across a network. A data request is sent to a database, the data request configured to retrieve data from the database comprising a plurality of fields and a target field. The retrieved data is processed using a machine learning algorithm to produce a weight for each field of the plurality of fields and a scoring data structure. The fields and the scoring data structure are sent to the client system across the network. A user selects values for the plurality of fields and the programmable calculator is configured based on the scoring data structure to generate a simulated value for the target field based on the user selected values.

Abstract: A query is parsed and positions of symbols of the query are determined. A parse tree including the positions of the symbols is generated based on the parsed query. The parse tree is sent to a DBMS optimizer. The parse tree is transformed into an optimizer tree. The optimizer tree includes the positions of the symbols of the query. Based on the optimizer tree, a query execution plan is generated for the execution of the query. The positions of the symbols of the query is copied from the optimizer tree into the query execution plan. The query execution plan is sent to a query execution engine. The query is executed in accordance with the query execution plan. When a runtime error is detected, an exception message associated with the runtime error is displayed. The error message includes an error code and the positions of the symbols of the query.

Abstract: Financial reporting methods and systems integrate profitability and accounting data. A universal journal entry allows user definition of relevant characteristics for a market segment. The entry appends the structure of a financial document to provide linkage to market segment characteristics. When creating the financial document including profit and loss (P&L) and balance account line items, a market segment is defined with determined characteristics stored in the line item on the basis of business process dependent rules. For example in posting information on a sales order item, sales order data may be read, and customer, product, and/or other sales order information input. Additional data can be derived on the basis of the determined master data, depending upon user needs. Embodiments allow enriched reporting (e.g., flexible market segment reporting) at the line item level, affording intuitive access to defined characteristics, e.g., drill-down into details of P&L and balance account information.

Abstract: Various examples are directed to exposing database artifacts. For example, a rules engine may receive schema data describing a database schema of an in-memory database. The schema data may describe a table, a view, and a procedure. The rules engine may generate a data model comprising a plurality of translation artifacts including a table translation artifact describing a table of the database schema, a view translation artifact describing a view of the database schema, and a procedure translation artifact describing a procedure of the database schema. A mapping service may receive from a client application a first client request comprising first metadata describing the view translation artifact. The mapping service may initiate execution of the view at an in-memory database to determine a view result; and send the view result to the client application.

Abstract: Representative implementations provide devices and techniques for automatically generating a skeleton of at least a portion of a web service application. The skeleton comprises a framework that may be modified as needed for a desired use, such as for a relational database backed application, for example. In one aspect, the framework includes a versatile model to support different validation methods and varied customization. Filter support allows a user to perform actions on and/or define rules for inputs. In another aspect, the skeleton is automatically activated in an in-memory database repository.

Abstract: A query is received by a database server from a remote application server that is associated with a calculation scenario that defines a data flow model including one or more calculation nodes including stacked multiproviders. Subsequently, the database server instantiates the calculation scenario and afterwards optimizes the calculation scenario. As part of the optimization, the calculation scenario is optimized by merging the two multiproviders. Thereafter, the operations defined by the calculation nodes of the optimized calculation scenario can be executed to result in a responsive data set. Next, the data set is provided to the application server by the database server.

Abstract: Methods and apparatus, including computer program products, are provided for union node pruning. In one aspect, there is provided a method, which may include receiving, by a calculation engine, a query; processing a calculation scenario including a union node; accessing a pruning table associated with the union node, wherein the pruning table includes semantic information describing the first input from the first data source node and the second input from the second data source node; determining whether the first data source node and the second data source node can be pruned by at least comparing the semantic information to at least one filter of the query; and pruning, based on a result of the determining, at least one the first data source node or the second data source node. Related apparatus, systems, methods, and articles are also described.

Abstract: A request with data is received at an execution environment of an application. In response to the request, a first network packet is automatically created. The first network packet includes the data, orchestration code and application code of the application. The first network packet is sent to a first network node. The first network node executes a first section of the application code in a node execution environment. The section to be executed is determined based on the orchestration code. In response to the execution, a microservice associated with the application is invoked. Upon receiving a response from the microservice, a second network packet is dynamically generated. The second network packet includes the received response, the orchestration code, and one or more sections of the application code. The second network packet is sent to a second network node.

Abstract: A method includes creating multiple logical compartments in a data storage device to hold respective multiple portions of an ordered list of elements, encapsulating each element, of a portion for each compartment, in a node with pointers to successive nodes in the portion, creating a set of references to a first node in each compartment, and providing a count of the number of elements in each compartment.

Abstract: A technology for displaying formula dependencies of multi-dimensional data in a visual representation is provided. In accordance with one aspect, a visual representation of a multi-dimensional data is provided based on metadata of a modeled data set. The metadata includes information of a data model comprising dimensions, hierarchies of dimension members, and formulas for deriving the dimension members. The formula dependencies are determined for members of a dimension based on the metadata. A user selection of a dimension member in the visual representation is received and the framework displays a formula dependency of the selected dimension member on the visual representation using one or more visual markers. The visual markers identify one or more corresponding dimension members from which the selected dimension member is derived and represent a formula used for deriving the selected dimension member.

Abstract: WebRTC is vulnerable to malicious JavaScript, injected by cross-site scripting attacks or compromised or malicious script providers. Through these attacks, attackers can access a WebRTC connection and leak or monitor the audio and video data transmitted. By preventing modification of key WebRTC functions and preventing outgoing streams from being used more than once, these attacks can be thwarted.

Abstract: In one general aspect, a method for creating an enterprise application can include receiving, by a computing device, a selection of a project for creating using a template, receiving, by the computing device, a selection of an application for the project, receiving information for associating with the application, receiving a selection of a data source, receiving a selection of a core data service from a group of core data services associated with the data source, the core data service utilizing a smart template, receiving a selection of a data service that utilizes the selected core data service, receiving a selection of an annotated data service, and creating the enterprise application. The creating can be based on the smart template. The creating can utilize the received information for associating with the application, the data source, the core data service, the data service, and the annotated data service.

Abstract: A plurality of data sources accessed by a software program are automatically determined by a compliance tool. At least a portion of the data sources are automatically associated with one or more formalized compliance terms using the compliance tool. At least a portion of the data sources is analyzed by the compliance tool using at least one formalized compliance norm that include at least one of the one or more formalized compliance terms to provide compliance results. The compliance results are output to a user.

Abstract: DBSCAN clustering analyses can be improved by pre-processing of a data set using a Hilbert curve to intelligently identify the centers for initial partitional analysis by a partitional clustering algorithm such as CLARANS. Partitions output by the partitional clustering algorithm can be process by DBSCAN running in parallel before intermediate cluster results are merged.

Abstract: In an example embodiment, a first graphical layer having a plurality of edges is rendered in a graphical user interface, the first graphical layer including a first virtual button rendered at a default location and one or more pieces of information. Then a user input of selecting the first virtual button and moving the first virtual button to a new location other than the default location is detected. In response to the detecting, the new location is compared to each of the plurality of edges to determine a geometrically closest edge to the new location, and a second graphical layer is rendered on top of the first graphical layer, the second graphical layer abutting the geometrically closest edge to the new location.

Abstract: Example embodiments of a two-model user interface system are described. In an example embodiment, first information of a user interface model is presented via a user interface, the first information of the user interface model based on data available at a data processing system. User input indicating a selected portion of the first information is received via the user interface. A communication model is updated to include the selected portion of the first information, and the user interface model is updated to include an indication of the selected portion of the first information. The selected portion of the first information is communicated from the communication model to the data processing system based on the updating of the communication model.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for determining optimal fix locations for security vulnerabilities in computer-readable code. Implementations include actions of identifying data flows from respective sources to respective sinks in computer-executable code based on information associated with the computer-executable code, determining vulnerability information of the sources, the sinks, and the data flows based on information of vulnerable sources and sinks stored in a database, and providing a graph representation of the code for display, the graph representation depicting the data flows from the respective sources to the respective sinks with the vulnerability information.

Abstract: Methods and system are disclosed that optimize an allocation of virtual machines or instances of virtual machines or computing resources. In one aspect, a software defined network includes a front-end query classifier to monitor user traffic (e.g. requests or queries for executing operations) generated from multiple virtual machines (e.g., tenants). The monitored queries may be classified into multiple levels or categories (e.g., L1, L2, L3, etc.) by a back-end query classifier. The classified queries are clustered by a query-clustering engine based on a time stamp information associated with the queries. A virtual machine optimizer may optimize an allocation of virtual machines based on a computation that includes a combination of density of clustered queries and weights assigned to the queries.

Abstract: A system and a method, the method including receiving a set of documents, the set including at least one instance of an unstructured document; parsing the set of documents to obtain information regarding the set of documents; determining a map of a map for the set of documents based on the information obtained by the parsing; generating a hierarchical semantic representation of the set of documents based on the map of the map; and storing the hierarchical semantic representation of the set of documents.

Abstract: Changes to data in a column in an in memory array resulting from operations of a transaction thread can be written to a database object associated with the column. The database object can be marked for materialization upon completion of all of the plurality of operations of the transaction thread such that the column and the changes are materialized from the in-memory array to one or more pages stored on a persistent storage based on the marking.