Abstract: Systems and methods for providing access to a document within a first file structure for one or more users of a content management system. Location for the content object within a file plan of a records management system is provided, in response to detecting a declaration of the document as a record. The content object is moved from the first file structure to the location in the file plan. A record marker is created in the first file structure to identify a navigation path from the first file structure to the location of the content object in the file plan.

Abstract: Methods and devices for controlling access to sensitive data stored in a computer system are provided. For at least some data entries in a dataset, each identified by a respective key, an indicator of which zero or more conditions of a plurality of queries are satisfied by that data entry is generated. The keys are grouped into cohorts based on the indicators, at least some of the cohorts comprising keys identifying data entries satisfying the same zero of more conditions. A first output is transmitted to the first computing device comprising an identifier of a first cohort and an indication of a condition which is satisfied by data entries identified by keys in the first cohort. A second output is transmitted to a second computing device comprising an identifier of the first cohort and a set of keys corresponding to the data entries in the first cohort.

Abstract: Methods, systems, and computer-readable storage media for receiving a first storage request indicating a first type of data and a first size, identifying a first sub-space based on the first type, the first sub-space including a dense group of dense segments and a sparse group of sparse segments, and determining that the dense group of the first sub-space is absent a dense segment to store data of the first storage request based on the first size, and in response: determining whether the sparse group of the first sub-space includes a sparse segment to store the data of the first storage request based on the first size, and storing the data of the first storage request to the sparse group of the first sub-space in response to determining that the sparse group of the first sub-space includes a sparse segment to store the data of the first storage request.

Abstract: A system includes a relational database management system component and a column-oriented data processing component. The relational database system component stores database information in a row format. The column-oriented data processing component stores the database information in a column format. In response to a database update request, the relational database management system component updates the database information stored in the row format; the relational database management system component notifies the column-oriented data processing component of the database update request; and the column-oriented data processing component updates the database information stored in said column format. In response to a query request, the column-oriented data processing component generates a query response based on the database information stored in said column format. In this manner, the system is able to generate up-to-date reports without the need for extraction, translation and loading procedures.

Abstract: Storage layer data obfuscation, including: determining a subset of a dataset to obfuscate in accordance with a security policy; generating, based at least in part on the security policy, an obfuscated snapshot of the dataset that is representative of the dataset with the subset of the dataset obfuscated; and sending, to a target computer system, the obfuscated snapshot from which a restored version of the dataset includes the subset of the dataset obfuscated.

Abstract: The present disclosure relates to systems and methods for using machine-learning techniques to detect similar features between data sets. More particularly, the present disclosure relates to systems and methods that learn feature patterns within at least two data sets using machine-learning techniques to determine similarities between clusters of users in a scalable and computationally efficient manner.

Abstract: Disclosed herein are systems and methods to efficiently execute predictions models to identify future values associated with various nodes. The systems and methods described herein retrieve a set of nodes and execute various clustering algorithms in order to segment the nodes into different clusters. The systems and methods described herein also describe generating one or more prediction models, such as time-series models, for each cluster of nodes. When a node with unknown/limited data and attributes is identified, the methods and systems described herein first identify a cluster most similar the new node, identify a corresponding prediction model, and execute the identified prediction model to calculate future attribute of the new node.

Abstract: In some embodiments, described is a system (and method) for providing an efficient preview capability for emails backed up to a cloud-based object storage. The email preview may be provided as part of an interface allowing a user to select individual emails to restore from the object storage. The system may extract specialized preview information as part of a backup procedure. The preview information may include metadata and email content. For example, the preview information may include various email details such as sender, receiver, subject line, time sent/received, filenames of any attachments, etc. The preview information may also include email content such as particular sentences from the email body containing keywords. The system may also store extracted preview information in a specialized manner such that the preview information may be retrieved without having to access the actual backup data.

Abstract: Technologies are described for improving the performance of distributed database systems. The technologies provide suggested table distributions that can reduce the performance overhead associated with database operations that involve multiple nodes, and can provide more even distribution of computing resource use. In a particular example, a method includes minimizing a scoring function that includes a plurality of performance metrics, at least a portion of the metrics being associated with a weight. Candidate table distributions can be analyzed in an iterative manner to determine a lowest-score distribution. A final table distribution can be output, such as to a user.

Abstract: A document management apparatus provides an electronic document management service for managing electronic documents by storing the electronic documents in plural folders. The document management apparatus includes a processor configured to cause a learner to learn such that the learner specifies a folder in which an electronic document is stored, based on content of the electronic document stored in the folder and a service attribute assigned to the electronic document by the electronic document management service, and specify a storage destination folder in which a new electronic document is to be stored, based on content of the new electronic document and a service attribute of the new electronic document.

Abstract: A method, article of manufacture, and apparatus for backing up data. In some embodiments, this includes backing up an object to a repository, segmenting the object into a plurality of sub-objects, and assigning a priority to a sub-object. Segmenting the object may include segmenting the object based on file access patterns. Assigning a priority may include assigning a high priority based on file access patterns, or based on policy, among others.

Abstract: Disclosed herein are systems and methods for pruning external data. In an embodiment, a database platform receives a query directed at least in part to external data in an external table on an external data storage platform. The external table includes partitions that correspond to storage locations in a source directory of the external data storage platform. The storage locations contain files that contain the external data. The database platform identifies, from external-table metadata that is stored by the database platform and that maps the partitions of the external table to the storage locations in the source directory, a subset of the partitions as including data that potentially satisfies the query. The database platform identifies data that satisfies the query by scanning the identified subset of the partitions, and responds to the query at least in part with the identified data that satisfies the query.

Abstract: Custom communication alert techniques are described. A triggering condition is detected by one or more computing devices that is found by searching data using one or more extraction rules of a late-binding schema. Responsive to the detection of the triggering condition of the alert, a communication is formed by the one or more computing devices that corresponds to the alert and that includes one or more tokens based on one or more values of the data taken from fields defined by the one or more extraction rules. The communication is caused to be transmitted by the one or more computing device via a network for receipt by at least one computing device of an intended recipient of the communication.

Abstract: An information processing system includes a plurality of distributed ledger nodes provided to a plurality of organizations, and configured to verify a content of a transaction with each other and hold a history of the transaction in distributed ledgers provided to the organizations, a client node configured to transmit the transaction to the distributed ledger nodes, and a plurality of processing nodes provided to the organizations, and configured to execute verification target processing being processing that is targeted for verification on a virtual platform. The client node selects the distributed ledger nodes to perform the verification of the verification target processing and transmits the transaction including a request to execute the verification target processing to each of the selected distributed ledger nodes. When each selected node receives the transaction, the distributed ledger node causes the processing node in the organization to perform the verification and records the verification result.

Abstract: A method and system for servicing requests, including receiving, from a client, a first request to perform an action, obtaining a first persona object for a user associated with the first request, servicing the first request using the first persona object to obtain a result, and providing the result to the client.

Abstract: System and method of verifying validity of a metadata modification request to prevent improper metadata operations. During initialization of a volume in a storage device and once a metadata area is reserved for a metadata structure, information characterizing the metadata structure and metadata area is stored in the storage device, which may be in the form of an area legend composed of descriptors such as a magic signature, a node size, a clump size of reservation, and extent of the metadata area. Responsive to a request for operating on metadata, relevant information provided in the request is verified against the stored characteristic information. If the verification discovers an inconsistency between the information provided in the request and the stored characteristic information, the request modification is treated as invalid and blocked from operation.

Abstract: A storage control method comprising steps of; accepting a file that includes a plurality of pieces of text data and a piece of information indicating a correspondence between each of the plurality of pieces of text data and attributes of the piece of text data; classifying the plurality of pieces of text data into a plurality of groups in accordance with the plurality of attributes that are each associated with any one of the plurality of pieces of text data, based on the piece of information indicating the correspondence included in the accepted file; generating, for each of the plurality of groups, a file that stores one or a plurality of pieces of text data included in the group; and storing the generated file in a storage destination corresponding to the attributes of the one or plurality of pieces of text data included in the file.

Abstract: One or more table partitions may communicate with an index partition that may be a master of a replication group. A communications channel may exist between table partitions and the index partition. Upon splitting the index partition, communications between the table partitions and the index partition may be suspended. Upon completion of the split, communications may be reestablished between the table partitions and a partition, of the replication group of index partitions, designated to be a master following the split. Messages accumulated by the table partitions during the split may be sent to the index partition upon reestablishing communications.

Abstract: The present application discloses a resharding method and system for a distributed storage system, and the method comprises: when performing resharding for the bucket, accumulating a statistical value in each of pieces of shard statistical information into a header field; deleting each of pieces of shard statistical information, and creating, according to the number of shards after resharding, several pieces of new shard statistical information, wherein, the number of the pieces of the new shard statistical information is equivalent to the number of shards after resharding, and the several pieces of new shard statistical information have one-to-one correspondence with the shards after resharding; and grouping operation logs in an operation log set according to the number of shards after resharding, such that the number of groups of the operation logs is consistent with the number of shards after resharding.

Abstract: Techniques are provided for predicting and deleting idle remote sessions in a distributed file system. In an example, a server that serves a plurality of server message block (SMB) sessions analyzes with linear regression techniques those sessions to determine which sessions will become idle. In some examples, the server can then proactively close a SMB session that it predicts that an administrator would choose to close after a given idle period of time, or recommend to an administrator that the SMB session can be closed.