Abstract: Techniques are described for enabling analysts and other users of an IT operations platform to identify certain data objects managed by the platform (for example, events, files, notes, actions results, etc.) as “evidence” when such data objects are believed to be of particular significance to an investigation or other matter. For example, an event generated based on data ingested from an anti-virus service and representing a security-related incident might include artifacts indicating an asset identifier, a hash value of a suspected malicious file, a file path on the infected endpoint, and so forth. An analyst can use various interfaces and interface elements of an IT operations platform to indicate which of such events and/or artifacts, if any, represent evidence in the context of the investigation that the analyst is conducting. In response, the IT operations platform can perform various automated actions.

Abstract: Systems and methods are disclosed for reconstructing a file hierarchy by scanning attributes of stored files. Stored files can have a file hierarchy that is maintained in a database stored on a storage device. The files can be stored as objects on the device using a flat file structure. The file database provides the file hierarchy. The systems and methods disclosed herein store information in file system extended attributes for individual storage files such that the database can be reconstructed by scanning the storage files, using values in the extended attributes to recreate the hierarchical database.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining a query statement; parsing the query statement and determining from the parsing that the query statement is a compound predicate query statement that includes a first predicate and a second predicate; responsively to the parsing, rewriting the obtained query statement to provide a transformed query statement, wherein the rewriting includes (a) specifying generating of a temporary table, wherein the specified generating uses data values of the first predicate and (b) specifying a join function that uses the temporary table and a table referenced in the query statement; evaluating a candidate access path associated to the transformed query statement; selecting the candidate access path as an access path for execution; and executing the transformed query statement according to the selected candidate access path for execution.

Abstract: Methods and systems implement local file systems of computing nodes which translate random-access read and random-access write operation calls to append-based operation calls in accordance with a distributed file system (“DFS”) implemented across storage nodes of a cloud network. Computer-executable applications running on the computing nodes may generate kernel-level read and write system calls by application programming interfaces (“APIs”) such as the Portable Operating System Interface (“POSIX”) standard, to a local file system. The local file system may translate these read and write system calls to file operations at a DFS implementing an append-only file system, as well as perform storage reclamation upon the DFS periodically and/or upon storage thresholds being exceeded.

Abstract: A response to a first query related to a geographic area, and search results responsive to a second query related to the geographic area, are received from a server system. A digital map of the geographic is provided via a user interface. A focus is provided to the first query to illustrate the response on the digital map, where the response defines a geographic context. A subset of the search results is identified based on a relationship to the geographic context. The search results in the identified subset are visually emphasized on the digital map relative to the rest of the search results.

Abstract: An audio file format of an audio portion of a natural language content is determined. Using a trained audio language identification model, a human language included in the audio portion is identified. Using a trained audio to text model trained on the human language, the audio portion is converted to a corresponding set of text data. The set of text data is indexed. Using the indexed set of text data responsive to a search query, a search result is generated, the search query specifying a search including a non-textual portion of the natural language content.

Abstract: Systems and methods implementing a path resolver facilitating client access to a distributed file system. An example method may comprise: receiving, by a processing device, a file identifier comprising a symbolic link; producing, by a user space process being executed by the processing device, a modified file identifier, by replacing a pre-defined sequence of characters within the file identifier by a path to a mount point of a distributed file system; and identifying, in view of the modified file identifier, a data structure comprising information about a file identified by the file identifier.

Abstract: Provided is a device for writing image files into memories, which includes a memory and a processor. The memory is configured to store an instruction. The processor is coupled to the memory, a hardware database and a software database. The processor is configured to access and execute the instruction from the memory to: confirm a production condition of a product, wherein the production condition includes a hardware component characteristic and a software component characteristic; generate an image file by comparing the hardware component characteristic with a plurality of hardware characteristic data in the hardware database, and comparing the software component characteristic with a plurality of software characteristic data in the software database; and write the image file into a product flash memory.

Abstract: A system for performing continuous transaction log backups with minimal resource usage of the client computing devices that are processing the transactions is disclosed. The system detects at least one input/output (I/O) activity at a client computing device. The I/O activity can be associated with at least one database operation performed via the client computing device. The system then executes one or more native commands to backup transactions log data associated with the detected I/O activity to a virtualized location. Backing-up the transactions log data comprises dynamically identifying a mount path location corresponding to the virtualized location, and transferring the transactions log data to the dynamically identified mount path using the one or more native commands. The system can then perform data processing operations (for example, data chunking and deduplicating) on the transactions log data after it is received at the dynamically identified mount path location.

Abstract: Examples described herein relate to a data protection policy management system (DPPMS) for tuning a data protection policy in events of failures. The DPPMS may detect a failure associated with an application that is protected via the data protection policy that includes settings corresponding to parameters comprising one or more of copy tiers, a data retention interval and a recovery point objective (RPO) for the copy tiers. The DPPMS may determine a type of the failure associated with the application. Further, the DPPMS may select, based on the type of the failure, at least one parameter of the parameters to be tuned in response to detection of the failure. Moreover, the DPPMS may tune the settings corresponding to the at least one selected parameter to adapt the data protection policy.

Abstract: Methods, systems, and computer-readable media for content importing with discovery in a collaborative environment are disclosed. A content sharing system retrieves a document from a data source using a connector associated with the data source. The document is retrieved using one or more credentials associated with a user. The content sharing system retrieves metadata associated with a plurality of additional documents stored by the data source. The metadata is retrieved using the one or more credentials associated with the user. The content sharing system determines, based at least in part on the metadata associated with the plurality of additional documents, one or more of the additional documents that are anticipated to be relevant to the user. Data descriptive of the one or more of the additional documents is presented to the user via a user interface.

Abstract: Users are most likely to search for documents “around” them, such as documents which are created, read, or modified by other users they work closely or collaborate with, documents on sites the user frequents, and/or documents trending around them, in addition to documents they've created or interacted with themselves. Therefore, embodiments are directed to relevance ranking of query results based on external context. A search service may receive a query and an external context list, determine a relevance value for each entry in the external context list, and perform the query, where a search index comprising items may be returned in response to performance of the query. The search service may then match entries in the external context list against associated properties of the items, compute a score for the items based on the matching, and rank results of the query based on the score computed for the items.

Abstract: Methods, systems, and apparatus for extended training data sets for neural network-based IT solutions. In one aspect, a method includes collecting, support data generated during multiple support events including a corpus of articles referenced during the support event. Within the corpus of articles, restricted and unrestricted articles referenced in the support data and restricted and unrestricted articles not referenced in the support data are identified. Embedded vectors are generated for each article that is referenced in the support data from the article and a subset of the support data that references the article, and for each article that is not referenced by the support data, an embedded vector from only the article. A dimensionality of the embedded vectors is reduced and a neural network is trained using the embedded vectors to select a particular article of the corpus of articles responsive to a new support event.

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Database commands may be asynchronously forwarded between nodes of a database system. A read-only node may receive a request, such as a read request or write request, and determine that the request should be forwarded to a read-only node for performance. A thread that handles the request may forward the request to the read-only node and register a call-back event for a response to the request and be made available to perform other work. When the response from the read-write node is received, the call-back event may be triggered and return a response to the request using the same or different thread.

Abstract: A database entry may be stored in a container in a database table corresponding with a partition key. The partition key may be determined by applying one or more partition rules to one or more data values associated with the database entry. The database entry may be an instance of one of a plurality of data object definitions associated with database entries in the database. Each of the data object definitions may identify a respective one or more data fields included within an instance of the data object definition.

Abstract: A system and a method for grouping log lines in application log file is presented. The system uses logging framework code instrumentation in order to obtain a relation between the actual log line and the place in source code from which a method responsible for writing the line has been called. As the all information on the relation is stored in external metadata files, the structure of the log files remains unchanged. Using the above mentioned metadata and a raw log file, each log line in the file can be assigned to a group related to the place in source code from which the line has been logged, by the system. Next such a grouped log file can be displayed to the user in order to simplify the analysis of the application behavior.

Abstract: Embodiments of the present invention are directed towards providing contextual tags for an image based on a contextual analysis of associated images captured in the same environment as the image. To determine contextual tags, content tags can be determined for images. The determined content tags can be associated with categories based on a contextual classification of the content tags. These associated content tags can then be designated as contextual tags for a respective category. To associate these contextual tags with the images, the images can be iterated through based on how the images relate to the contextual tags. For instance, when an image is associated with a category, the contextual tags classified into that category can be assigned to that image.

Abstract: A container group is created using a database deployment infrastructure (DI) administrator (HA). API privileges for the container group are granted, using the HA, to a container group administrator (GA). API privileges for a container created in the container group using the GA are granted, using the GA, to a container administrator (CA). API privileges for the container are granted, using the CA, to a container developer (CD). Schema privileges for the container are granted, using the CA, to a container consumer (CC). API privileges for the container group are revoked, using the HA, from the GA. The container group is dropped using the HA.

Abstract: Techniques are provided for lock reservations for shared storage. A reserve command to reserve a storage structure is received by a driver from a node. The reserve command is formatted according to a storage protocol. The driver translates the reserve command into a lease acquire command formatted according to an object store protocol and targeting an object stored within an object store and corresponding to the storage structure. A lease identifier derived from a node identifier of the node is inserted into the lease acquire command. The lease acquire command is routed to the object store for obtaining a lease on the object for granting the node exclusive write access to the object.