Abstract: Managing databases implemented in a cloud computing environment. A method includes detecting that a database implemented in the cloud computing environment is in a state of non-use. The method further includes as a result of detecting that a database implemented in the cloud computing environment is in a state of non-use, instantiating a workload in the cloud computing environment to deactivate the database. The workload is configured to store metadata for the database and database data remotely in cloud storage such that the database can be reactivated at a later time.

Abstract: A method of detecting events in and clustering social media postings for display on a user system may include retrieving, via an application programming interface (API) of a social media system over at least one first communication network, at least one posting of the social media system; determining whether the at least one posting has content referring to a predetermined time period; upon determining that the at least one posting has content referring to the predetermined time period, determining whether the at least one posting corresponds to an existing cluster of postings related to an event; upon determining that the at least one posting corresponds to the existing cluster of postings relating to the event, storing, in at least one database on a non-transistory machine-readable storage medium, the existing cluster of postings modified to include the at least one posting; and providing, via at least one second communication network, a representation of the modified existing cluster of postings for displa

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A query is received. Search results are identified that are responsive to the query. A content item is identified for presentation along with the search results. It is determined, based on one or more criteria, when the content item is to be augmented. When it is determined that the content item is to be augmented and after identifying the search results, the content item is augmented based at least in part on an entry in the search result. An augmented content item is created. The augmented content item is provided.

Abstract: A table relation analysis assisting apparatus analyzes a relation between pieces of data in a certain column (external key) astride tables in a relational database. The apparatus analyzes a relation between tables and holds inter-table relation analysis information in which tables, pieces of data in the tables being in a one to one relation or a plural to one relation, are defined as one table group. In the apparatus, an analysis result display unit provides a display in such a form that one or more tables in a relational database are contracted into a table group. The display unit displays table groups in such a form that which of a one to one relation or a plural to one relation a relation between pieces of data included therein is astride tables can be viewed.

Abstract: In one example, a method for a distributed model of data ingestion includes receiving multiple asynchronous backup requests from a plurality of clients, and performing primary processing with respect to data elements of a first one of the backup requests. Next, a job concerning a secondary process is added to a job queue. A handoff is then made for performance of the secondary processing with respect to data elements of the first backup request. The job is then accessed and the secondary processing is performed with respect to the data elements of the backup request, wherein the primary processing and secondary processing are respective first and second stages of an ingestion process, and the primary processing is performed prior to the secondary processing.

Abstract: System and methods are maintaining various versions of a graph (e.g., a geometric graph) by a graph management engine. A graph may be partitioned into a number of cells (e.g., utilizing a spatial projection formula). Each cell may be associated with graph data such as nodes and/or edges that are located within the area defined by the boundaries of a cell. The graph management engine may process modifications to the graph. Upon determining that a modification is to be made to a cell, the graph management engine may generate a new cell to contain the previous cell content as modified. The new cell may be assigned a new cell identifier, and a version map corresponding to current cell version identifiers may be maintained. Subsequent data requests for graph data may be processed utilizing the version map to ensure that current graph data is provided in response to the request.

Abstract: A system according to certain aspects improves the process of restoring database objects and converting those objects into another database file format. According to certain aspects, a database file is backed up in a block-level fashion. Instead of restoring the entire backup file, which can consume a large amount of time and computing resources, the information management system may restore a particular database object from a backup database file that is stored as multiple blocks or other granular units. Then, the information management system can extract the desired data from the restored block(s). By using block-level mapping and storage techniques described herein, the system can restore a database object in a backup database file without restoring the entire backup database file, thereby speeding up restore operations and reducing consumption of storage and processing resources.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: A system and method for generating activity summaries for users. User activity information is received by a user activity information receiver module. Once enough data is received and processed, the data is analyzes and segmented to determine and create an activity summary or story. Content is selected. The selection of the content includes selection of content items, such as multimedia items, e.g. pictures and videos. Secondary information, such as user activity information or location information is analyzed. A story is generated based on the selected content, including the selected content. The story is represented by a display of the selected media and other information associated with the media.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: The disclosed techniques enable browsing of data items that are stored in a backup storage system in a backup format. A search query from a user is received where the search query is for a data item stored in a data storage system, such as a tape drive, a disk array, or a cloud-based storage system. The system may use an index to look up a data format of the data item. To present the data to the user, the system may perform a restoration operation using two or more staging operations to convert the data format to a format that can be presented to the user.

Abstract: Region summaries of database data are stored in persistent memory of a storage cell. Because the region summaries are stored in persistent memory, when a storage cell is powered off and data in volatile memory is not retained, region summaries are nevertheless preserved in persistent memory. When the storage cell comes online, the region summaries already exist and may be used without the delay attendant to regenerating the region summaries stored in volatile memory.

Abstract: Various methods are provided for determining and displaying local content. One example method may comprise receiving input to open a mobile application at a mobile device, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and automatically generating a query, the query comprising the GPS location, identifying a predefined mix of content from a content index in accordance with an editing target, wherein the editing target specifies a number of articles and wherein the predefined mix indicates a portion of the editing target directed to at least one category, determining whether the editing target and the predefined mix are met, determining a new location, the new location being larger in geographic area and containing the location, in an instance in which the editing target and the predefined mix are not met, and displaying the results.

Abstract: Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.

Abstract: Techniques for query intent clustering for automated sourcing are described. In an example embodiment, disclosed is a system comprising a processor, a storage device, and a memory device holding an instruction set executable on the processor to cause the system to perform operations. The system obtains one or more recent hire member profiles used as a basis for a search on member profiles in a social networking service. Additionally, the system extracts one or more attributes from the one or more recent hire member profiles and stores the attributes on the storage device. Moreover, the system identifies skills clusters based on the extracted attributes retrieved from the storage device. Furthermore, the system generates a search query based on the identified skills clusters. Then, a search can be performed on member profiles in the social networking service using the generated search query, returning one or more result member profiles as candidates.

Abstract: Methods, systems, and media for lot classification are disclosed. In one example, a classification system for identifying lot listings receives a description for a listing in a publication system, identifies a string in the listing, identifies a quantity word or digit in the string, and converts an identified quantity word into digit form. A normalized string is tokenized to produce tokens, the tokenizing of the normalized string including splitting the normalized string into a series of substrings using a sequence of delimiters. For each substring, an additional split is performed by separating any digit from any other adjacent character, unless that character is another digit, and maintaining an internal character order of each split substring to produce a flattened list of tokenized tokens.

Abstract: According to certain aspects, a system may include a data agent configured to: process a database file residing on a primary storage device(s) to identify a subset of data in the database file for archiving, the database file generated by a database application; and extract the subset of the data from the database file and store the subset of the data in an archive file on the primary storage device(s) as a plurality of blocks having a common size; and at least one secondary storage controller computer configured to, as part of a secondary copy operation in which the archive file is copied to a secondary storage device(s): copy the plurality of blocks to the secondary storage devices to create a secondary copy of the archive file; and create a table that provides a mapping between the copied plurality of blocks and corresponding locations in the secondary storage device(s).

Abstract: A new snapshot of a storage volume is created by suppressing write requests. Once pending write requests from the computing nodes are completed, storage nodes create a new snapshot for the storage volume by allocating a new segment to the new snapshot. Data is written in segments and Metadata is stored in the segments indicating LBAs of data stored therein and offsets within the segments at which data for LBAs are stored. For write requests, index entries are stored in an index buffer for a segment and written to the segment when the buffer is full. A redo entry is created in a redo buffer for multiple storage volumes and slices for each write request. Write requests are acknowledged when the redo buffer is written to redo segments on a storage device. On restart, index buffers are reconstructed from the redo segments if needed.

Abstract: Methods and systems for storing data include compressing data inflated from a first compression format into a second format using a processor and verifying contents of the data concurrently with compressing the data. Compression is aborted responsive to a failure of the content verification, but an output of the compression is stored to a tape drive until the compression is aborted. The tape drive is rolled back to a file start position after the compression is aborted and compression of any remaining uncompressed data is skipped after the compression is aborted. The data is stored to the tape drive after rolling the tape drive back.

Abstract: Systems and methods for data synchronization are provided. The system may include a first Hadoop service cluster, a second Hadoop service cluster and a third service cluster. The first Hadoop service cluster may store the file metadata from a client. The second Hadoop service cluster connects to the first Hadoop service cluster. The third service cluster may back up updated data block of the first Hadoop service cluster to the second Hadoop service cluster.