Abstract: A geographically diverse data storage system that can protect data via replication of data among relevant zones according to a determined replication topology is disclosed. The replication topology can be determined based on replication times between the relevant zones. In an aspect, a tree topology can provide advantages over a star topography. In an embodiment, a tree topology can be generated, or an existing topology can be modified, via selection of a next replication task(s) based on the replication times. In an aspect, the replication times can be determined from measurable characteristics of the geographically diverse data storage system. In some embodiments, the replications times can be based on historical measurements, time limited historical measurements, inferences from machine learning, etc. A determined topology can be ranked relative to other viable topologies based on criteria such as speed, monetary cost, computing resource usage, etc.

Abstract: A hybrid network-based database system for handling OLTP and OLAP queries using decoupled compute and storage devices. A set of decoupled compute instances perform transactions on an OLTP database, and the data is replicated to an OLAP database, which is managed by another set of decoupled compute instances. Further, in response to queries, the database system can retrieve data from the OLTP and OLAP database for merging and processing according to the query.

Abstract: A method of provisioning organization users in a multi-tenant database system includes receiving a request via a single sign-on protocol from an organization user to create a new multi-tenant database user account for access to the multi-tenant database system. The method retrieves rules that specify how to derive user permissions for access to the multi-tenant database system from stored user attributes of the organization user. The method continues with applying the rules to the stored user attributes to determine permissions for the users to access particular objects in the multi-tenant database system, and creating the new user account with the determined user permissions for access to the multi-tenant database system.

Abstract: A data sync cache is maintained to facilitate syncing of child data objects between a first computing system and a second computing system. Responsive to successful syncing of a parent data object of a child data object by a first sync engine, parent object data sync information indicating that the parent data object was successfully synced is written to the data sync cache. Prior to initiating a sync of the child data object by a second sync engine different from the first sync engine, a cache lookup of the data sync cache is performed to determine if the sync information is contained therein. If the data sync cache includes the sync information, the child data object sync is initiated. In this manner, failed syncs of child data objects are reduced along with the expensive API calls to the second computing system that would otherwise be required to retry failed syncs.

Abstract: The described technology is generally directed towards bulk-mode replication of data objects to a destination replication site. When replicating a group of objects, and there is enough object data to fill one or more chunk data structures, bulk-mode data replication is performed, with the destination site replicating the objects into chunk data structures and performing erasure coding to protect the data. This avoids the need for inefficient preliminary data protection scheme at the replication destination. When there are multiple objects to be replicated but not enough object data to fill a chunk data structure, bulk-mode data replication transfers the objects to the destination site for replicating as individual objects. Standard object-level replication can be used for single object replication. The technology thus facilitates high-performance data transfer to destination replication sites and efficient handling of data at the replication destination site.

Abstract: A method comprises dividing a plurality of operations of a microservice between a plurality of databases, and synchronizing data corresponding to the plurality of operations between the plurality of databases. The microservice is a create, read, update, delete (CRUD) microservice, and the plurality of operations comprise creating, reading, updating and deleting the data.

Abstract: A method, apparatus and computer program product group records based upon a prediction of the content of the records. In the context of a method, data associated with respective subjects of the records is received and a threshold of a machine learning model is adjusted to satisfy an accuracy requirement for record categorization. In response to analyzing the data, but not the records, by the machine learning model, the method separates, using the machine learning model, the records into the first and second groups with the first group including records that the associated data indicates are more likely to support the addition of a code and the second group including records that the associated data indicates are less likely to support the addition of a code. The method also includes subsequently processing the records in different manners depending upon whether the records are included in the first or second group.

Abstract: A computer-implemented system and related method process a smart contract. The method uses a processor for processing a smart contract that receives a transaction proposal (TP) from a blockchain client. The processor determines a pre-endorsement result (PER) that is associated with the TP, analyzes, according to a pre-endorsement agreement logic, the PER to produce an agreed result, and endorses the agreed result. The processor sends, to the blockchain client, the endorsed agreed result.

Abstract: A method of auto-provisioning AI-based dialog services for a plurality of target applications includes storing a plurality of dialog templates, generating a deployment object associating one or more of the dialog templates with a target application from among the plurality of target applications, extracting textual data from the target application, assembling the extracted textual data into inquiries or inquiry responses according to the one or more dialog templates associated with the deployment object, and deploying an AI-based dialog service to the target application based on the assembled inquiries or inquiry responses. Each of the dialog templates may include one or more sets of common inquiries or common inquiry responses.

Abstract: Systems and methods are provided for retrieving a source database replication configuration profile that is used to determine one or more databases of a plurality of target databases to store selected tenant data of a source database to be replicated, retrieving from each the plurality of target databases a target database replication configuration profile and transforming the profiles to persist in a management platform database, comparing the retrieved source database replication configuration profile and the target database replication configuration profiles to determine which target databases are usable to replicate the selected tenant data to, classifying the target database replication configuration profiles based on results of the comparison, and generating a list of one or more target databases of the plurality of target databases for the selected tenant data of the source database to be replicated to based on the classification of the target database replication configuration profiles.

Abstract: The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.

Abstract: The present disclosure describes a technology platform for creating and updating records of resources in a ledger. To create a record, a tenant organization may prepare a record to write to the ledger that may be flagged as temporary. Metadata may be added to the record, which flags the record as temporary. The metadata may comprise a unique code and an identification of a user that can approve the temporary record. The unique code and the identification may be sent, by the technology platform, to a device associated with one or more approving devices. Upon receiving the code and the identification of the transaction, the device may sign the unique code and invoke a routine based on the identification. The routine may fetch the temporary record. The device may compare the unique code to a code stored in the metadata of the temporary record. Upon valid verification of the unique code, the device may indicate authorization of the write.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for predictive dynamic bidding rules generation for digital content objects.

Abstract: Methods, systems, and computer-readable media for a scalable metadata index for a time-series database are disclosed. A time-series database receives a query comprising spatial and temporal boundaries of requested time-series data in a table. Using traversal of a metadata index, the time-series database determines one or more storage locations in the one or more data sources corresponding to the spatial and temporal boundaries. The metadata index includes a root node representing spatial and temporal boundaries of the table. The metadata index includes one or more leaf nodes representing the spatial and temporal boundaries of the requested time-series data. The one or more leaf nodes indicate the one or more storage locations in the one or more data sources. The time-series database obtains one or more elements of the requested time-series data from the one or more storage locations in the one or more data sources.

Abstract: A method for rendering a multimedia data stream tamper-proof and of evidential value when recorded in a block chain system reads and decodes the multimedia data stream to obtain multiple frames of data arranged in sequence, and calculates a hash value of each frame of data of the multimedia data stream. One or more items of data are selected from the multiple frames of data based on a predetermined rule and information as to properties of the one or more items of data is uploaded to the block chain system for recording purposes. A device for applying the method to a multimedia data stream is also disclosed.

Abstract: Systems and methods are described to determine relationships between one or more components of an isolated execution environment system based on data obtained from a data intake and query system. Based on the determined relationships, an interactive visualization is generated that indicates the hierarchical relationship of the components. In some cases, to illustrate the relationship between components of the isolated execution environment system, the visualization can include one or more display objects displayed in a subordinate or superior relationship to other display objects. In certain cases, based on an interaction with a display object, the system can generate a query and/or display additional information and/or visualizations based on the results of the query.

Abstract: Systems and methods are provided to manage a replication service of a block storage volume to increase dependability and/or decrease data loss. Each snapshot of a block storage volume can include a point-in-time representation of the volume. Each snapshot may include multiple objects that correspond to one or more blocks of the volume. One or more objects of a snapshot may reference a parent snapshot instead of a block of the volume. Each object of a snapshot may be replicated a number of times based on the number of references by other snapshots. The number of replicas may be based on the number of snapshots referencing the object or the number of unique clients referencing the object. The replication service can manage the replicas of the object and increase or decrease the number of replicas as needed.

Abstract: A machine-learning driven Database Management System (DBMS) is provided. One or more machine-learning algorithms are trained on the database constructs and execution plans produced by a database optimizer for queries. The trained machine-learning algorithms provide predictors when supplied the constructs and plans for a given query. The predictors are processed by the DBMS to make resource, scheduling, and Service Level Agreement (SLA) compliance decisions with respect to the given query.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for consistently providing accurate versions of digital data within a distributed server network utilizing session-level user tokens. For example, in one or more embodiments, the disclosed systems generate a session-level user token that is specific to a client computing device participating in a session and in response to receiving a write request from the client computing device. As the client computing device initiates additional requests to read and write digital data from the distributed server network during the session, the disclosed systems maintain current version information within the session-level user token, and utilize this version information to verify that data provided to the client computing device from the distributed server network is accurate at the session-level.

Abstract: Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.