Abstract: There is provided a computer-implemented method for automatically managing storage resources of a distributed file system comprising: obtaining actual past storage usage data of a first directory from a plurality of directories of the distributed file system to a current time; detecting, a space quota limit for the first directory and associated with a pre-defined expected future time; determining from the actual past storage usage data, projected storage usage data of the first directory over a future time period; obtaining an aggregated correction coefficient providing an indication of aggregated projected storage usage needs of remaining other directories relative to the first directory; in response to determining an expected value of the projected storage usage data at the expected future time is inconsistent with the space quota limit, adjusting the space quota limit to a new quota limit based on the expected value weighted by the aggregated correction coefficient.

Abstract: Technology is disclosed herein for enhanced similarity search. In an implementation, a search environment includes one or more computing hardware, software, and/or firmware components in support of enhanced similarity search. The one or more components identify a modality for a similarity search with respect to a query object. The components generate an embedding for the query object based on the modality and based on connections between the query object and neighboring nodes in a graph. The embedding for the query object provides the basis for the search for similar objects.

Abstract: Various embodiments of the present application set forth a computer-implemented method that includes determining a first set of criteria associated with at least a first user or a first client device, transmitting, by the first client device, a first request for data to a data source, wherein the first request includes the first set of criteria, receiving a first dashboard that includes a first set of visualizations, wherein each visualization in the first set of visualizations is generated by filtering a set of field values based on the first set of criteria, and wherein the set of field values is determined by the data source based on executing a query on raw machine data, and displaying, by the first client device, at least a portion of the first dashboard.

Abstract: Systems and methods for quantifying a user capability in accordance with an organizational role are disclosed herein. In an aspect, a role capability assessment is deployed to a user comprising at least one question whereby the user selects at least one answer that corresponds to the at least one question and the at least one answer conveys information to determine the capability of the user to perform an organizational role. In another aspect, a set of answer data associated with the at least one answer is received whereby the set of answer data correlates to the capability of the user to perform a role within an organization.

Abstract: Techniques for active learning-based data labeling are described. An active learning-based data labeling service enables a user to build and manage large, high accuracy datasets for use in various machine learning systems. Machine learning may be used to automate annotation and management of the datasets, increasing efficiency of labeling tasks and reducing the time required to perform labeling. Embodiments utilize active learning techniques to reduce the amount of a dataset that requires manual labeling. As subsets of the dataset are labeled, this label data is used to train a model which can then identify additional objects in the dataset without manual intervention. The label data can be added to an augmented manifest, the augmented manifest can be used to filter the dataset to perform further labeling jobs on the same or different subsets of the dataset.

Abstract: A method of dynamically sampling application events includes receiving usage data for a plurality of applications on client devices. The usage data includes data for instances of events that occur in the plurality of applications in response to users interacting with the plurality of applications on the client devices. The method further includes storing the usage data in a first data store, determining, for respective applications of the plurality of applications, sampling rates for respective application events of the plurality of application events based at least in part on respective quantities of instances of the respective application events during a period of time, sampling from the first data store the data for the instances of the respective application events at the sampling rates to form respective sets of usage data, and providing a report using one or more sets of the sets of usage data.

Abstract: A computer-implemented method according to one embodiment includes identifying a relational database; determining columns of interest within the relational database; creating an unordered group of string tokens for each row of the relational database, utilizing the determined columns of interest; assigning weights for one or more columns within the relational database to one or more string tokens within each unordered group of string tokens to create a plurality of weighted unordered groups of string tokens; and determining a meaning vector for an identifier of each row of the relational database, utilizing the plurality of weighted unordered groups of string tokens.

Abstract: A platform's central instance manager (IM) receives microservice requests issued to a common application shared between various tenants. Embodiments function to co-locate within a same database, the persistence containers of different microservice instances of a specific tenant. The central IM associates a corresponding tenant identifier with microservice request instances created. Referencing this assigned tenant identifier, the central IM maintains an external configuration file comprising a mapping of services (m) and tenants (n), to relevant persistence container service instances. Such mapping permits the allocation of tenant-specific microservice data for storage within persistence containers of a particular database. This co-location of data promotes flexibility, allowing tenants to furnish database structures tailored to their individual needs.

Abstract: A method is described for processing keyed data items that are each associated with a value of a key, the keyed data items being from a plurality of distinct data streams, the processing including collecting the keyed data items, determining, based on contents of at least one of the keyed data items, satisfaction of one or more specified conditions for execution of one or more actions and causing execution of at least one of the one or more actions responsive to the determining.

Abstract: Methods of providing data to a user including receiving a page request from the user for a database to provide a sub-set of data from a dataset. The method further including sending a publish request from the database to a publisher, publishing the dataset from the publisher to the database, preparing the sub-set of data in the page request in the database, and sending the sub-set of data in the page request to the user.

Abstract: A key-value storage device includes a non-volatile memory and a controller. The key-value storage device is configured to communicate with a host and includes a controller and a non-volatile memory. The controller is configured to receive, from the host, a first command including a key, a first chunk among multiple chunks included in a value corresponding to the key, and a first chunk index corresponding to the first chunk. The controller is configured to store mapping information of the first chunk in a mapping table based on the key and the first chunk index. The non-volatile memory is configured to store the key and the first chunk based on the mapping information.

Abstract: Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

Abstract: Systems, methods, and non-transitory computer readable media are provided for customizing pipelines for integrating data. A file to be ingested into a data analysis platform may be determined. The file type of the file may be detected. The file may be transformed based on the file type. The transformation may include applying a set of operations to the file. The set of operations may correspond to a pipeline of operations associated with the file type.

Abstract: Examples disclosed herein are relevant to configurations of hash tables. An example hash table includes is configured to be placed into a contiguous block of shared memory and be used across multiple processes. The hash table can include a memory layout having two logical tables: a metadata table and a storage array. In addition, a storage bitmap can be used to determine available memory locations in the storage array. Disclosed configurations can be suited for use in high-performance computing applications.

Abstract: A method prepares data for subsequent analysis. The method obtains a data model that encodes a data sources as a tree of logical tables. Each logical table has its own physical representation and includes logical fields. Each logical field corresponds to either a data field or a calculation that spans logical tables. The method associates each logical table in the data model with a corresponding concept in a concept graph. The concept graph embodies hierarchical inheritance of semantics. For each logical field, the method assigns a semantic role to the logical field based on a concept corresponding to a logical table. The method also validates the logical field based on its semantic role. The method also displays transformations to clean the logical field based on validating the logical field. The method transforms the logical field according to a user selection, and updates the logical table.

Abstract: A service monitoring system (SMS) transforms machine data from a monitored information technology (IT) environment into meaningful key performance indicators (KPIs) that each represents some measure of a service implemented by the environment on an ongoing basis. An overall health score for the service is determined from the KPIs and a prediction is made for a future health score. Data regarding a particular KPI and other KPIs is transformed to predicted future values for the particular KPI over a prediction window. Additionally, predicted future KPI scores may be used to determine a KPI impact score reflecting some measure of the degree to which the KPI, its related components, or processing related thereto, can influence the actual future health score. The KPI impact scores condition or direct the future operation of one or more SMS processes.

Abstract: An embodiment of the present invention is directed to determining non-utilized storage within a file system and providing a meaningful report for reclaims. An embodiment of the present invention is directed to implementing a reporting tool for presenting information about the storage allocated to one or more Linux servers, file systems as well as other components, resources and/or systems. The data may then be used to aid decision making for performing reclaims of the storage which may be highlighted as unused.

Abstract: Provided are tools and methods for formatting mapping information from a data integration system (DIS) having stored therein a plurality of instances of mapping information, wherein an instance of mapping information includes information related to a data transfer between sources and targets coupled to the data integration system. The method includes generating and displaying a graphical user interface (GUI) on a display system and accepting user selections and input responsive thereto. The method includes receiving a user request for a mapping level dependency or for a port dependency table. The method prompts the user and receives user input to complete a search of the DIS according to the user request. All instances of mapping information matching the user request are found and the information is formatted and displayed in an intuitive format, such as a hierarchical tree structure or a table.

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 an atomized workflow loader configured to receive an atomized dataset to load into a data store, and to determine resource requirements data to describe at least one resource requirement. The atomized workflow loader may be further configured to select a data store type based on a resource requirement, and perform a load operation of the atomized dataset as a function of the data store type.

Abstract: An example operation may include one or more of retrieving, into a new node to be instantiated in a blockchain network, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, retrieving, into the new node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the received state database checkpoint, and executing, at the new node, the transactions of the retrieved blocks on the initial state database to generate a current state database.