Abstract: A request is received to restore a file at a deduplicated storage system to a client. The file resides at the storage system as a synthetic file based on a base file at the storage system. The request includes an indication that the base file is also present at the client. Metadata generated during a backup of the file to the storage system is reviewed. The metadata includes references to data determined to be in the base file at the storage system, and references to other data determined to not be in the base file at the storage system. The other data determined to not be in the base file is read from the storage system and transmitted to the client. Upon receipt, the client assembles the requested file using the base file present at the client and the other data determined to not be in the base file.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing.

Abstract: Techniques for schema mismatch detection and evolution are described. When data is being uploaded into a source table, schema of the data to be uploaded can be compared with the schema for the source table. If a schema mismatch is detected, the schema of the source table can be modified, and the upload can be continued without data loss.

Abstract: Technology is disclosed for selectively compressing data based on similarity of pages within the data that is to be compressed. At least one corresponding hash value is generated for each one of multiple candidate pages to be compressed. In response to the hash values generated for the candidate pages, the technology selects a set of similar candidate pages from the candidate pages. The set of similar candidate pages are a subset of the candidate pages that includes less than all the candidate pages. The set of similar candidate pages are compressed as a single unit, separately from one or more other ones of the candidate pages that were not selected to be included in the set of similar candidate pages.

Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for suppressing search results to personally objectionable content. One of the methods includes receiving an identifier of a resource that has image content. A first classifier classifies the image content as including objectionable content or not including objectionable content. A second classifier classifies the image content as including professionally produced content or not including professionally produced content. Whenever the image content is classified as including objectionable content and as not including professionally produced content, the resource is designated as having personally objectionable content.

Abstract: A computer-implemented system and method for analyzing clusters of coded documents is provided. Clusters of documents are displayed and at least a portion of the documents are each associated with a classification code. A representation of each document is provided based on the associated classification code or an absence of the associated classification code. A search query with search terms is received. Each search term is associated with one of the classification codes. Those documents that satisfy the search query are identified and the representations of the identified documents are changed based on the classification codes associated with the search terms. The change in representation provides an indication of agreement between the classification code of such document and the classification codes of the search terms, or an indication of disagreement between the classification code of the document and the classification codes of the search terms.

Abstract: An apparatus for managing a folder, includes: a memory; and a processor electrically connected to the memory. The processor is configured to detect access of a user terminal, provide a folder list for folders or a file list for files in the folder, and when an access authority of the user terminal to the folder is confirmed, display some or all of message threads input from chat room participants through a realized folder chat room in association with the folder in the user terminal.

Abstract: A method operative in association with a set of transaction handling computing elements that comprise a network core that receive and process transaction requests into an append-only immutable chain of data blocks, wherein a data block is a collection of transactions, and wherein presence of a transaction recorded within a data block is verifiable via a cryptographic hash, and wherein Unspent Transaction Output (UTXO) data structures supporting the immutable chain of data blocks are maintained in a UTXO database, wherein a UXTO is an output from a finalized transaction that contains a value. The technique herein includes periodically snapshotting a given portion of the UTXO database to generate a hash. The hash of the snapshot is recorded within the immutable chain of data blocks, and preferably within a given block header. In responsive to a receipt of a recovery request, and to facilitate recovery of the system to a provably-known state, a consensus algorithm is executed over the UXTO snapshot.

Abstract: A digital magazine server generates a digital magazine for user based on a received request for the digital magazine identifying one or more topics. The digital magazine server applies one or more machined trained models to obtained content items to select content items for the topic. A hierarchy of the topics included in the received request may be determined by the digital magazine server and used by the trained models to select content items. When generating the digital magazine, the digital magazine server also includes one or more editorial content items that are manually selected. The digital magazine serer may reposition one or more content items selected by the trained models to include an editorial content items.

Abstract: A system and method for enabling ETL (Extract-Transform-Load) as a service for data processing are disclosed. A user interface (UI) platform includes an input interface layer and an output interface layer. A receiver receives user input, via the input interface layer, of configuration details data corresponding to a desired data to be fetched from one or more data sources. A processor fetches the desired data from said one or more data sources based on the configuration details data to be utilized for the desired data processing scheme; automatically implements a transformation algorithm on the desired data corresponding to the configuration details data and the desired data processing scheme to output a transformed data in a predefined format; and transmits, via the output interface layer, the transformed data to downstream applications or systems in an end-to-end pipeline.

Abstract: A natural language code search service provides idioms or frequently-occurring code patterns for a code fragment based on similar type usage and method/API invocation usage. The search service uses a data mining technique that mines code snippets found from various websites and code snippets generated from a neural model to detect idioms in the code snippets that were previously unknown and which can be reused. A search is initiated through a natural language query within a code development tool or application thereby avoiding the need to switch out of the current application to perform the search.

Abstract: Solutions for data unification include: receiving a data record, the data record comprising a plurality of data fields; selecting, from among the plurality of data fields, a subset of the data fields, the subset of the data fields being fewer in number than the plurality of data fields, wherein selecting the subset of the data fields comprises: applying a first rule to select at least a first one of the data fields within the data record for inclusion in the subset of the data fields; using content of the subset of the data fields, generating a stable identifier (stableID) for the data record; and inserting the stableID into a primary key data field of the data record.

Abstract: Methods, systems, and computer program products are provided for consolidating transaction log requests and transaction logs in a database transaction log service. A scalable log service may manage log requests and logs to reduce resource consumption, such as memory and I/O. Log requests may be managed by consolidating (e.g., organizing, merging and/or de-duplicating) the log requests. Transaction log requests may be mapped to read requests for transaction log storage devices in less than a one-to-one ratio. Transaction logs may be managed by using the consolidated log requests to consolidate (e.g., and prefetch) transaction logs from multiple cache and/or storage tiers to a log pool cache. Log requests may be served from the log pool cache.

Abstract: Synthesizing a control object for a computing event, the control object for securing a computing resource based on a set of access and privilege information provided through a set of mediated associations that are represented by an enchained set of certificates, portions of which are encrypted including entity-specific paths to entity-specific predecessor certificates and partial decryption keys therefor, wherein the control object is applied to secure the computing resource for performing a computing action indicated by a process-type entity identified in the certificate for the control object.

Abstract: Establishing event-specific trust through data-centric mediation by: generating a mediated covenant of association as an instance of trust among a plurality of entities at an association layer of a multi-layer computer security system; constructing a security model enforceable by the multi-layer computer security system that expresses node-node semantic relationships as links among nodes of the model representing protectable computing resources; and producing an event-specific security model via informatic convolution of elements of the covenant with elements of the security model, so that the event-specific security model is operable to constrain a computing action among computing resources represented by the plurality of entities.

Abstract: Diffusing a root identity of an entity among association and event covenants in a multi-dimensional computing security system involves generating a first generation of diffusion of identities of entities participating in mediated association and generating a second generation of diffusion of identities of the entities through recombinant mediated association of the entities and at least one other entity. The second generation of diffusion of identities facilitates securely constraining a computing system action associated with one of the entities.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: Techniques are described herein for generating, editing, and optimizing queries using neural networks. In some embodiments, the techniques include training a neural network using a set of performant database queries to automatically learn patterns between different sequences of tokens in performant queries. Once trained, the neural network may receive an incomplete query as input, where the incomplete query includes one or more query tokens. The trained neural network may then perform next token prediction to project a set of one or more additional query tokens that may follow the one or more query tokens in the incomplete query to form a completed, performant query.

Abstract: A device may receive a request to identify items that satisfy parameters of the request. The device may identify a plurality of items that satisfy the parameters. The device may generate a plurality of explanation sets. An explanation set of the plurality of explanation sets may relate to an item of the plurality of items. The explanation set may include at least one of: a positive explanation indicating that the item is positively associated with a first characteristic that relates to a first preference of a user, or a negative explanation indicating that the item is negatively associated with a second characteristic that relates to a second preference of the user. The device may select an item from the plurality of items based on the plurality of explanation sets. The device may provide information that includes an explanation set of the item selected.