Abstract: Disclosed herein are system, method, and computer program product embodiments for creating an enterprise data model that defines entities and relationships between the entities spanning multiple environments and for deploying and maintaining artifacts across the environments using metadata specified in the enterprise data model. By embedding metadata that describes foreign key references within an enterprise data model, a unifying enterprise data model may manage artifacts across multiple domains while implementing a physical, cross-domain, data architecture. Such an enterprise data model may provide an organization with a 360-degree view of the information harnessed across the organization's technical landscape and may allow the organization to easily rollout a comprehensive data warehousing solution.

Abstract: A computing resource service provider may provide computing instances organized into logical groups, such as auto-scaling groups. Computing instances assigned to an auto-scaling group may be place into standby. Standby instances may still be managed by the auto-scaling group but may not contribute to the capacity of the auto-scaling group for auto-scaling purposes.

Abstract: A method performed by a computing system, includes executing an application, using a data call to an Application Programming Interface, the data call requesting access to a file stored on a storage system associated with the computing system, with a context extraction module, determining contextual information associated with the data call, through use of a library, causing a kernel to access the file according to the data call, storing the contextual information on the storage system, and performing an analysis on the contextual information, the analysis including determining an average size of a call stack when the data was accessed.

Abstract: Embodiments of the present disclosure provide a system for accelerated data search of a database storage system. The system includes a host device including a database storage engine; and a memory system including a controller and a memory device, which includes a plurality of pages storing multiple records. The controller includes a page processing accelerator configured to: read, from the plurality of pages, multiple pages in response to a filtered read command; filter particular pages among the multiple pages based on a column full search condition, the filtered pages including entries satisfying the column full search condition; and transfer, to the host device, information regarding the filtered pages.

Abstract: Computing systems, for example, multi-tenant systems create data centers in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a cloud platform independent declarative specification describing a new datacenter to be created and a customization specification for customizing the data center. The system compiles the declarative specification along with the customization specification to generate a metadata representation of the data center. The metadata representation is used to generate a data center on a target cloud platform. Different customization specifications can be provided to generate different customized datacenters based on the same declarative specification. For example, the different customized data centers may implement different policies, for example, network policies, security policies, and so on.

Abstract: Methods and systems are enclosed herein for automatically managing email communication between a group of users and a group of target prospects. A sequence of outbound emails is automatically sent on behalf of a user to a prospect. Based upon the prospect's inbound replies (or lack thereof) the system will perform preconfigured actions, such as stopping automated communications and deferring to the user for manual action.

Abstract: In some examples, unstructured data is evaluated using a natural language processing model to output a set of subjective indicators. These subjective indicators are scored using a predictive model to determine whether a dependent user has or is likely to develop a particular condition such as a cellular abnormality.

Abstract: Methods, systems, and apparatuses for improved content delivery are described herein. During delivery of content to one or more user devices of a content distribution network (CDN), a content session may be created for each user device. During each content session, each user device may send one or more upstream communications, such as heartbeat signals and bitrate requests, to the CDN. A monitoring module of the CDN may aggregate the upstream communications into session data. The monitoring module may use the session data to determine an impairment associated with content delivery to the one or more user devices.

Abstract: A monitoring unit for monitoring a linear asset includes a connection to a data output of a distributed sensor arranged along the linear asset, where the linear asset has a length which is different from the length of the distributed sensor, and a processing unit which is configured to receive a data signal provided by the distributed sensor, to apply a transfer function, to evaluate the data signal and to provide a tracking output signal. Evaluating the data signal includes running an evaluation algorithm, the transfer function is applied to the data signal or to the evaluation algorithm, and by applying the transfer function, the data signal or the evaluation algorithm is normalized. Furthermore, a method for monitoring a linear asset is provided.

Abstract: An apparatus and method for searching and displaying an email string including inputting one or more search text, wherein the search text is associated with one or more highlight option; searching the email string with the search text, wherein the email string includes at least one email, and wherein the at least one email includes email information, email body and/or email attachment; and displaying the email sting in a horizontal or vertical manner on a display that includes a first column, a second column and a third column. In one example, the first column displays the email information, the second column displays the email body and the third column displays the email attachment, and wherein the search text is found in one of the email information, the email body or the email attachment.

Abstract: Certain embodiments described herein relate to an improved selective data backup system. In some embodiments, one or more components in an information management system can determine that a portion of the primary data scheduled for backup was previously backed up or is scheduled to be backed up as part of another backup operation. For example, a data agent performing a cluster-level backup operation for an entire cluster of storage servers may check whether any part of the primary data was previously backed up by a prior server-level backup operation for one of the storage servers in the cluster. If so, the data agent may skip, in the cluster-level backup operation, any portion of the primary data stored in the storage server previously backed up as part of the prior server-level backup operation.

Abstract: An approach is provided for synchronizing a function among an embedded system and/or one or more devices. The approach involves causing, at least in part, an authentication of at least one user at an embedded system. The approach also involves causing, at least in part, an association of the at least one user with at least one cloud account associated with the embedded system. The approach further involves causing, at least in part, a registration of one or more devices associated with the at least one user to the at least one cloud account. The approach also involves causing, at least in part, a synchronization of at least one function, data associated with the at least one function, or a combination thereof among the at least one embedded system, the one or more devices, or a combination thereof based, at least in part, on the registration.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: A lossy counter counts distinct network data items. The lossy counter includes a count sketch bounded by a predetermined value to limit the number of distinct network data items included in the count sketch. The count sketch may include counts for a set of distinct network data items. The lossy counter has an associated time interval, and the first set of distinct network data items and the second set of distinct data items include timestamps that coincide with the time interval associated with the lossy counter.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, network communications to interface among repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools that facilitate data projects by providing an interactive, project-centric workspace interface that may include, for example, a unified view in which to identify data sources, generate transformative datasets, and/or disseminate insights to collaborative computing devices and user accounts.

Abstract: There is provided a control communication system in which when an abnormality occurs in a function provided by a control apparatus, the function where the abnormality has occurred is relocated to another control apparatus so that the continuity of the function is suppressed from being deteriorated. In a control communication system, in the case where an abnormality related to a monitoring subject service is detected, there is selected a relocation control apparatus to which the foregoing monitoring subject service is relocated from a control apparatus where the foregoing monitoring subject service is currently disposed; a software element and execution and communication manifests for the foregoing monitoring subject service are transferred to a service storage device of the relocation control apparatus and are stored therein.

Abstract: A system and a method for generating traffic information are provided. The system for generating traffic information includes a vehicle that obtains a location and a surrounding image in real time, and a server that receives the location and the surrounding image from the vehicle, and calculates a time required to pass through a specified section and an average speed passing through the specified section based on the location and the surrounding image from the vehicle.

Abstract: Methods, systems, and computer program products for extracting structure and semantics from tabular data are provided herein. A computer-implemented method includes processing tabular data comprising data cells and header cells, wherein the processing includes: identifying one or more regions within the tabular data, wherein each of the regions comprises one or more of the data cells; matching some of the regions to one or more of the header cells, wherein the matched header cells are semantically related to the data cells inside the matched region; and generating, based on the matching, an output describing semantic relationships between the data cells and the header cells. The method also includes creating, for each data cell, a tuple comprising semantic information contained within one or more of the header cells that pertains to the data cell.

Abstract: A multi-fabric VLAN configuration system includes a first fabric with server devices that are configured to communicate using VLANs, a primary I/O module coupled to the server devices, and a first fabric management system coupled to the server devices and the primary I/O module. The first fabric management system identifies VLAN information associated with the VLANs, automatically configures the primary I/O module using the VLAN information, and causes the VLAN information to be transmitted by the primary I/O module. A second fabric in the multi-fabric VLAN configuration system includes a leaf switch device that is coupled to the primary I/O module and that receives the VLAN information, and a second fabric management system that is coupled to the leaf switch device and that receives the VLAN information from the leaf switch device, and automatically configures the leaf switch device using the VLAN information.

Abstract: The methods and systems described herein leveraging acoustic features of a user to generate and present a personalized content to a user. In one example, the method receives a voice query and determines that the query refers to either a first content item or a second content item. The first content item is associated with a first type assigned with a first score and the second content method also determines whether the query is from the second entity type. The method ranks the first and the second content items based on this determination and generates for presentation of the first and the second content items based on the ranking. The method also changes the first or the second scores based on this determination and selects one of the first or the second content item for presentation.