Abstract: An example system for indexing heterogeneous resources includes a data module that invokes one or more APIs, and responsive to the invoked one or more APIs, receives a first set of attributes of one or more cloud resources of a first subset of the set of cloud resources and a second set of attributes of one or more cloud resources of a second subset of the set of cloud resources. The system also includes a normalization module that for at least one attribute of the first and second sets of attributes, searches a database for a normalized attribute corresponding to the respective one attribute, normalizes based on the uniform schema the respective attribute, and places the normalized attribute in a data structure. The system further includes an indexing module that indexes the normalized attributes in the data structure.

Abstract: Embodiments of the present invention relate to a centralized table aging module that efficiently and flexibly utilizes an embedded memory resource, and that enables and facilitates separate network controllers. The centralized table aging module performs aging of tables in parallel using the embedded memory resource. The table aging module performs an age marking process and an age refreshing process. The memory resource includes age mark memory and age mask memory. Age marking is applied to the age mark memory. The age mask memory provides per-entry control granularity regarding the aging of table entries.

Abstract: In an approach for providing a framework to register a sensor module and manifest the capability the sensor module supports, a processor receives a first module registration request, wherein the first module registration request includes a sensor module and metadata. A processor determines that the first module registration request is compatible with a second module registration request by comparing data stored in a module database associated with the second module registration request to data within the first module registration request. A processor updates the module database with the metadata of the first module registration request. A processor generates a module delegate, wherein the module delegate provides data access and interaction interfaces based on the metadata. A processor generates a custom configuration component.

Abstract: Techniques are described for providing a storage service that stores information about large numbers of transactions in a persistent manner, such as with a high degree of reliability, availability and scalability based at least in part on use of a distributed computing and storage system. In some situations, the transaction information storage service stores various information about transactions that each include at least one monetary payment (e.g., a micro-payment) between financial accounts of two or more of numerous users having accounts with one or more entities. The transaction information storage service may be provided by or otherwise affiliated with a merchant, and customers of the merchant may purchase usage of the storage service for programs executed by or otherwise affiliated with the customers, with the storage service available to remote executing programs via a defined API of the storage service, such as a Web services-based API.

Abstract: Methods and a media system and storage system for cross-media storage coordination include but are not limited to storing a first data version of specified content based on a particular media format: storing at least a second data version of related content based on a different media format: providing a cross-reference between the first data version and the at least second data version to enable coordinated management by a designated user and/or an approved device for search and possible retrieval of the first data version and/or the at least second data version: and implementing communication access by one or more parties and/or the designated user via a communication type that is correlated with the first data version and/or the at least second data version.

Abstract: A method includes determining, by a processor, whether a program check condition exists. The method further includes determining, by the processor, whether a lock descriptor of a lock in a file lock table satisfies an unlocking condition. The method further includes releasing, by the processor, the lock by setting the lock descriptor's host identifier as zero. The method further includes determining, by the processor, whether any lock in the file lock table satisfies a lock conflict condition. The method further includes determining, by the processor, whether the file lock table includes any lock descriptor that satisfies a locking condition. The method further includes creating, by the processor, a new lock using the lock descriptor that satisfies the locking condition.

Abstract: A computer-implemented method is provided, for retrieving data and metadata according to a data harvesting criteria into an indexed repository, comprising providing a user interface allowing a user to define data harvesting criteria for adjusting a subset of data and metadata on an indexed repository. Responsive to a user utilizing the user interface by defining the data harvesting criteria, the subset of data and metadata on the indexed repository is adjusted according to the data harvesting criteria.

Abstract: Disclosed are systems and the like that provide automated validation of data points within a data record. Specifically, validation the correctness/existence of a data point, as well as, the association between the data point and a related entity. Moreover, in specific embodiments of the invention, in which data points are determined to be invalid, publically-accessible information may be retrieved from a distributed communications network and data analytics may be implemented to automatically determine/identify valid data points.

Abstract: Automated validation monitoring of data points within a data record to insure that data points in a data record are currently valid. Specifically, embodiments of the invention provide for continuously and/or periodically monitoring or checking the validation of the association between the data point and a related entity. Moreover, in specific embodiments of the invention, in which monitored data points are determined to be invalid, valid data points may be automatically determined/identified.

Abstract: Implementations described and claimed herein provide systems and methods for retrieving and displaying integrated data of a network. In one implementation, a method includes receiving, at an enterprise service bus (ESB), a data request for data pertaining to applications associated with computing systems communicatively coupled to the ESB. The data request includes at least one predefined global data field. In response to receiving the data request, a data set is retrieved that includes data corresponding to the predetermined global data from at least two applications. The data set is then transmitted to a user interface for display in a comparative format.

Abstract: Systems, methods, and devices of various embodiments enable signaling one or more capabilities of servers, such as web servers or content delivery network (CDN) servers, to use file version information, such as MD5s (message digest 5 (MD5) algorithm hash values) and/or entity tags (ETags), to computing devices for byte-range file repair.

Abstract: According to an aspect of some embodiments of the present invention there is provided a computer implemented method for detecting at least one anomaly in a dataset, comprising: managing a dataset including a plurality of data entities each including at least one value; receiving a semantic model that defines associations between two or more data entities; forming a plurality of multi dimensional data instances, each multi dimensional data instance formed from at least one of a permutation and a combination of a set of data entities from the plurality of data entities according to the semantic model; analyzing the multi dimensional data instances to detect at least one anomalous value, the anomalous value representing a statistically significant deviation according to a deviation requirement, of one or more values from a set of values of the multi dimensional data instances; and providing the detected at least one anomalous value.

Abstract: A central service provider manages a blockchain network that writes the cryptographic hash of each executed transaction in a block to the blockchain network. For each executed transaction, the central service provider generates and transmits a transaction receipt such that a party can verify that the transaction was appropriately executed. Additionally, a party can check that the party's records are correct by providing transaction data describing details of transactions recorded in the party's records to the central service provider. The central service provider verifies the party's records by comparing the transaction data in the party's records to the blocks of transaction records in the blockchain network. In some scenarios, the central service provider may identify or receive an identification of a discrepancy arising from one or more transactions. The central service provider can reconcile the identified discrepancy.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

Abstract: Cracking page-loadable columns for in-memory data management is described herein. An embodiment operates by accessing a column according to a received query, determining that the received query requires a non-critical data structure associated with the column, and rebuilding the non-critical data structure from data associated with the column.

Abstract: A system and method are provided for enforcing user policies on database. In one aspect a user policy and/or enterprise policy is predefined and mapped to the column of the database. Further, the query is run through a query parsing module, the result is sent to a query analyzing module to analyze the sensitivity of each query. A query rewriting module rewrites the query and the rewritten query is sent to the database. A sensitive tree is generated using database metadata, which is used during query analysis and query re-writing. In cases the original query does not contain any set operators the rewritten query is executed on the database and results are displayed as per the user policy. The cases where the original query comprises set operators a function called merger is implemented in the database or at the proxy server and data is displayed as per the user policy.

Abstract: In one embodiment, a method for improving cardinality estimation of a join predicate between a fact table and an overloaded dimension table is provided. The method includes receiving a dimension table and a fact table in a join predicate of one or more SQL statements. The method further includes identifying a majority of records in the fact table that refer to a subset of records in the dimension table. The method further includes computing a filter factor of the join predicate between the dimension table and the fact table. The method further includes creating a statistical view using one or more relevant portions of the dimension table that are referred to by the fact table.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement for requesting BLOB data serialized to a binary large object (BLOB) type and stored in a pivot table; determining name information for one or more columns generated as a result of a pivot operation included in respective pivot columns of the pivot table by querying a pivot name table for the pivot table; determining internal storage type information of the pivot table by querying a pivot meta table for the pivot table; and generating output information for the BLOB data corresponding to the query statement based on the determined name information and internal storage type information.

Abstract: A clustered system is provided for querying large amounts of data at fast speed allowing for variable sampling and speculation to speed up subsequent queries. An API using actor messages is provided to the user to be able to send SQL queries, the desired sample rater and the cube schema in which the user believes all queries in this session should fit. The underlying data store is agnostic and can utilize any system that supports aggregation.

Abstract: In one embodiment, a method for improving cardinality estimation of a join predicate between a fact table and an overloaded dimension table is provided. The method includes receiving a dimension table and a fact table in a join predicate of one or more SQL statements. The method further includes identifying a majority of records in the fact table that refer to a subset of records in the dimension table. The method further includes computing a filter factor of the join predicate between the dimension table and the fact table. The method further includes creating a statistical view using one or more relevant portions of the dimension table that are referred to by the fact table.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement including a pivot operator—the query statement being associated with an original table; executing a pivot operation for the original table in response to reception of the query statement; generating BLOB data by serializing at least a part of an execution result of the pivot operation to a BLOB type; and storing the generated BLOB data in a pivot table.

Abstract: Systems, methods, and software for telemetry event correlation is provided herein. An exemplary method includes obtaining an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements, establishing a joined dataset based at least on contextually corresponding characteristics derived from the datasets, and processing the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection. The method also includes evaluating each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection.

Abstract: A method for obtaining sample data includes associating data extracted from an incoming query with a key corresponding to an index table file, downloading data based on a filename, offset, and data range obtained from a table entry corresponding to the key, inserting the downloaded data to an inner join between a query table and a big data table, and obtaining data corresponding to a sample from the inner join.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of records from a set of inputs, with each record containing an entity key, a partition key, and one or more attribute-value pairs. Next, the system sorts and indexes the records by the entity key for each partitioned input. The system then processes a query of the records by matching entity key values to the sorted and indexed records for each input partition in the query. Next, the system merges the subset of records with the same entity key values into records, with each merged record containing an entity key field and a single field that includes a list of attribute-value pairs from the subset. Finally, the system outputs the merged records in response to the query.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include data ingestion controller configured to format datasets to form a first and a second atomized dataset, the second atomized dataset including the first atomized dataset and one or more other atomized datasets. The system may include a dataset query engine configured to identify a portion of a dataset relevant to a query, and to retrieve query results from at least one of different data repositories.

Abstract: A method for displaying log records includes providing a plurality of log records wherein a respective log record has a time stamp identifying the time of an occurrence of a computer system event. A display index correlates a respective time threshold between consecutive log records with respective display line spacing. The method further includes accessing a plurality of consecutive log records from a log file and evaluating the gap in time of an occurrence between consecutive log records and comparing the respective gap in time with a respective time threshold of the display index to determine respective display line spacing for displaying consecutive log records. A display displays the plurality of log consecutive log records in segmented groups with each group separated by a display line spacing corresponding to a respective time threshold between consecutive records as identified by the display index.

Abstract: A session initiation with an information system is detected, the session including a search for a data item in the information system. In an application executing using a processor and a memory, a node is constructed in a search tree, the node representing a search-related step occurring in the session. The node is configured with at least a search term used in the search and a context within which the search is performed using the search term. The node is positioned relative to a second node in the search tree, where the second node corresponds to a second search that was performed prior to the search in the session. The search tree is output as a part of a search journal corresponding to the session.

Abstract: A method includes receiving one or more updates in a social networking system corresponding to one or more topics, determining one or more constraints corresponding to the received one or more updates, updating a threshold value associated with each of the one or more determined user constraints, calculating a constraint score corresponding to each constraint of the one or more constraints, determining whether each constraint score meets a selected threshold value, and presenting the update responsive to determining that each constraint score meets a selected threshold value. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems, to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby one or more interfaces, such as user interfaces, may be implemented as computerized tools for presenting summarization of dataset attributes to facilitate discovery, formation, and analysis of interrelated collaborative datasets. In some examples, a method may include presenting data representing summary characteristic data in a user interface. This may include user interface elements each specifying a value of a dataset attribute for a collaborative dataset. Also, the method may include presenting aggregated data attributes for a subset of the collaborative dataset associated with the linked atomized datasets.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query into a collaborative dataset consolidation system, identifying datasets relevant to the query, generating one or more queries to access disparate data repositories, and retrieving data representing query results. In some cases, one or more queries are applied (e.g.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset having a data format into a dataset ingestion controller configured to form a collaborative dataset, interpreting data of the dataset against data classifications at an inference engine to derive at least an inferred attribute, associating the data with annotative data identifying the inferred attribute, and converting the dataset at a format converter to form an atomized dataset.

Abstract: Techniques are provided for eager replication of uncommitted transactions. In embodiments, a replication client receives, in a data stream, change records corresponding to database changes applied to a source database in a transaction. The change records does not include a commit record that indicates that the transaction is committed on the source database. Before receiving the commit record, the replication client computes transaction dependency data based on the change records and detects, based on the transaction dependency data, that the transaction can be at least partially applied to a target database. Also before receiving the commit record, the replication client applies, to a target database and based on the detecting, at least some of the change records. Upon receiving the commit record of the transaction, the replication client completes applying the change records and commits the transaction on the target database.

Abstract: Disclosed herein is a data synchronization between a client computing device's local store and another data store, such as a data store that is remote to the client computing device. The other data store may comprise a cloud data store. The existence, or absence, of a causal relationship between the local and remote data stores for a given data item is used to determine whether or not a conflict exists and/or whether a requested operation may be performed. The casual relationship may be determined using a previous commit's hash value, referred to as a hash_base value, and a hash value, both of which are associated with the data item.

Abstract: An intelligent conflict detection system. The system provides semantic expression of edits and history-aware conflict detection in a large-scale service allowing multiple users to simultaneously work with the same document, which may result in conflicting edits. When submitted, changes to a version of a document are compared to all versions of the document created since the document was sourced. Edits to documents are expressed as intents describing the changes in terms of an action and object of that action based on a characteristic of the data being edited. Comparing the intent of current edits against the historical intent of the edits made in prior versions originating from the same source document allows the system to intelligently assess whether the edits are in conflict. History-aware semantic analysis results in users being prompted less frequently to resolve conflicts, which improves the user experience.

Abstract: A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.

Abstract: Systems and techniques for graph-driven authoring in productivity applications can include using context of a user of a productivity application, the existing content of the user's document or an expression input with a command for finding relevant documents, and a date/time to obtain a set of results of relevant documents. The relevant documents include documents associated with people known to the user that contain content relevant to the topic(s) and/or entities from the context and that are current.

Abstract: A system and method for classifying security rules of a plurality of different security products into a security decision engine in a service. The method comprises receiving at least one security rule from at least one attack database of a security product of the plurality of different security products; normalizing each of the at least one security rule; generating a vector for each of the least one normalized security rule, wherein each vector is generated based on a set of terms indicative of a cyber-solution; mapping each of the generated vector to a security service, wherein the security service represents a cyber-solution category, wherein the mapping is performed using a classification model; and associating each of the respective security rule with the security service, when an evaluation threshold is met.

Abstract: A system, method, and computer-readable storage medium configured to validate data to ensure that a computing system operates on clean, correct and useful data.

Abstract: Disclosed is a method for identifying a group for digital content items. The method includes (a) retrieving one or more digital content item, (b) determining at least one characteristic of each digital content item, (c) transforming, with a first transformation method, the determined one or more digital content item to form one or more transformed digital content item, (d) determining at least one characteristic of the one or more digital content item, (e) assessing the determined at least one characteristic of the one or more digital content item with respective at least one characteristic of the one or more transformed digital content item to form a first transformation assessment result, and (f) using the first transformation assessment result to determine a group for the one or more digital content item.

Abstract: System and method for data cleansing are disclosed. The method comprises receiving one or more data records pre-categorized into one or more categories. Identifying at least one concept associated with one or more data records, and grouping, the at least one concept associated with the one or more data records into a plurality of category lists based on the predefined category associated with each of the one or more data records. Determining, one or more intersection sets based on a comparison between each pair of the plurality of category lists, wherein each intersection set comprises a set of one or more common concepts associated with a pair of category lists. The method comprises replacing each of at least one common concept of the set of one or more common concepts associated with each intersection set by a category name based on an occurrence rate of the common concepts.

Abstract: An information processing apparatus includes an extraction unit and a generation unit. The extraction unit extracts a common topic from profiles of plural users. The generation unit generates a community including users who are associated with the topic extracted by the extraction unit.

Abstract: Methods and systems to evaluate importance of metrics generated in a data center and ranking metric in order of relevance to data center performance are described. Methods collect sets of metric data generated in a data center over a period of time and categorize each set of metric data as being of high importance, medium importance, or low importance. Methods also calculate a rank ordering of each set of high importance and medium importance metric data. By determining importance of data center metrics, an optimal usage and distribution of computational and storage resources of the data center may be determined.

Abstract: Embodiments of the disclosure provide a method, apparatus, and system for identifying data tables. The method comprises acquiring a first dependency relationship between a plurality of data tables; collecting statistics on a path length and a path number of the data tables based on the first dependency relationship; acquiring a second dependency relationship between one or more fields in the data tables; determining importance coefficients of the one or more fields based on the second dependency relationship; determining a degree of association between the data tables by using the path length, the path number, and the importance coefficients; and identifying the data tables based on the degree of association.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

Abstract: According to one general aspect, a method may include receiving a data query request that includes one or more search parameters to be searched for within a plurality of files that are stored according to a hierarchical organizational structure, wherein each file includes at least one data record. The method may include scanning a plurality of files to determine if one or more files match a sub portion of the search parameters. The method may further include parsing the candidate files to determine which, if any, records included by the respective candidate files meet the search parameters. The method may include generating, by one or more result analyzers, query results from the resultant data. The method may also include streaming, to the user device, the query results as at least one query result becomes available and to start streaming before the query requests have been fully generated.

Abstract: Provided is a search service providing method of providing search results related to a search word performed by a search service providing device, the search service providing method comprising: receiving, by the search service providing device, an initial search word; determining, by the search service providing device, one or more additional search words based on the initial search word; ranking, by the search service providing device, the one or more additional search words; selecting, by the search service providing device, at least one related search word from among the one or more additional search words based on the ranking; and providing, by the search service providing device, additional search results corresponding to the at least one related search word, the initial search word, an initial search result corresponding to the initial search word, and the one or more additional search words.

Abstract: A method, system and computer-usable medium are disclosed for using a contextual graph to summarize a corpus of content. Natural Language Processing (NLP) preprocessing operations are performed on text within an input corpus to form a grammatical analysis. In turn, the grammatical analysis is used to generate semantic associations between phrases in the input corpus. The resulting semantic associations are then used to determine the thematic relevance of the individual sentences in the input corpus to form a context-based ranking. In turn, the context-based ranking is used to construct a context graph, the vertices of which are represented by phrases, and the edges are represented by an aggregate score resulting from performing calculations associated with semantic similarity of the phrases. The resulting context graph is then used to generate a content summarization for the input corpus.

Abstract: A method, system and computer-usable medium are disclosed for generating a context-sensitive summarization of a corpus of content. Natural Language Processing (NLP) operations are performed on text within an input corpus to extract phrases, which are then used to generate a grammatical analysis. In turn, the grammatical analysis is used to determine the thematic relevance of individual sentences in the input corpus. Sentences within the input corpus are then ranked according to their respective thematic relevance. This ranking is used to construct a contextualized content graph, which in turn is used to generate a content summarization for the input corpus.

Abstract: A method, system and computer program product for improving the engagement of the user in collaboration activities. A collaboration mechanism detects a request to select an artifact (community, file) by a user in a communication system. The collaboration mechanism analyzes the communication system for collaboration activities (e.g., postings) related to the selected artifact to determine a list of related artifacts. The collaboration mechanism then determines the collaboration activities for each artifact in the list of related artifacts. The collaboration mechanism then analyzes the determined collaboration activities for each artifact in the list of related artifacts to form a collaboration summary (summary of the collaboration activities) for each artifact which is presented to the user. As a result of presenting such a collaboration summary to the user, the user is more likely to engage in collaborative activities with other artifacts since they are related to the artifact selected by the user.

Abstract: Collections of music and other items, related by time, location, genre, and artist, and that are registered in a data model to provide a foundation for their curatorship, discovery, and procurement are accessed by analyzing captured sound and seeking a match based on an acoustic fingerprint. As a result of said match, a map through the history and culture of music is created for display. The map is created in an embodiment by a series of choices, where a choice is a combination of any of time, place, genre, and artist. Both expert and regular individual curators can define the maps; or the maps can be defined algorithmically. Based upon said matches, one or more animated murals depicting a fundamental combination of any of time, place, genre, and artist are provided to a user via a user interface for the navigation of music, its history, and culture.