Abstract: A system and method for supporting tuple record interlinking in one or more tuple space/coordinated namespace (CNS) extended memory storage systems. A system-wide CNS provides for efficient storing and communicating of data generated by local processes running at the nodes, and coordinated to generate a union/intersection of multiple CNS where tuple records are interlinked in multiple CNS hashtables, and/or share tuple data between two sets of processes that are part of different CNSs. Local node processes further generate multi-key tuples where two or more tuple records are interlinked within the same CNS hash table, thereby permitting a look up of the tuple data by either tuple name/keys. A CNS controller further provides a tuple iterator for a key-value storage in a CNS system that adds more links between tuples enables creation of iterator structures such as linked list or trees etc. of “different” tuples in a tuple database.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: Systems, computer program products, and methods are described herein for identifying, tagging, and monitoring data flow in a system environment. The present invention may be configured to receive data sets generated by applications for storage in data structures, generate unique identifiers for the data sets, and add the unique identifiers to the data sets. The present invention may be further configured to monitor, based on the unique identifiers, access to and movement of the data sets, generate, based on monitoring the access to and the movement of the data sets, flow data, and generate, based on the flow data, a data flow model. The present invention may be further configured to provide, to a user device, a graphical user interface for display by the user device, where the graphical user interface includes information based on the data flow model.

Abstract: In a computer-implemented method for adapting time series database schema, a plurality of queries to a time series database received over a time period is accessed, wherein time series data is ingested into the time series database according to a time series database schema, wherein time series data comprises a plurality of dimensions. The plurality of queries of the time period is analyzed to determine a relative frequency of the plurality of dimensions within the plurality of queries over the time period. It is determined whether to adapt the time series database schema based at least in part on the relative frequency of the plurality of dimensions within the plurality of queries over the time period.

Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.

Abstract: Techniques for identity management, and more particularly, to techniques for performing universal identity management or governance over a wide variety of applications. In one aspect a computer-implement method is provided that includes receiving a request for a query of data or a CRUD operation on the data. The data is part of a target application hosted by an enterprise. The method further includes obtaining a schema of objects associated with the target application. The schema models a relationship between the objects, and the objects represent the data of the target application. The method further includes executing the query or CRUD operation on the objects based on the schema, executing the query or CRUD operation on the data based on the schema, and reporting results of the query or CRUD operation on the data.

Abstract: Processing a hybrid flow containing a continuous flow can include connecting a continuous flow to a finite flow of a hybrid flow using a continuous connector operator, and processing the data flow graph of the hybrid flow.

Abstract: A computer system includes a first computer and a second computer. The second computer includes, a minimum analysis dataset in which a data item serving as an analysis target and a repetition unit are defined in advance for each analysis target and an agent. The agent receives an analysis target data fetching designation including the minimum analysis dataset, a repetition range of repeating acquisition of data, and a repetition unit. The agent generates a first process that acquires data from the first computer and a first instance that executes processing within the first process on the basis of the repetition range and the repetition unit and activate the first instance to acquire the accumulated data from the first computer. When the processing of the first instance is completed, the agent generates a second process that executes analysis processing and a second instance that executes processing within the second process.

Abstract: System, method, and various embodiments for providing a data access and recommendation system are described herein. An embodiment operates by identifying a column access of one or more data values of a first column of a plurality of columns of a table of a database during a sampling period. A count of how many of the one or more data values are accessed during the column access are recorded. A first counter, corresponding to the first column and stored in a distributed hash table, is incremented by the count. The sampling period is determined to have expired. A load recommendation on how to load data values into the first column based on the first counter is computed. The load recommendation for implementation into the database for one or more subsequent column accesses is provided.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for storing documents that are being tracked in an on-demand service. These mechanisms and methods for storing documents in an on-demand service can enable embodiments to provide the sharing of documents and the storing of the documents in association with a tag. The ability of embodiments to provide the sharing of documents and the storing can enable an efficient searching for a shared document. In an embodiment, the shared document is categorized upon being stored.

Abstract: A method for information retrieval in an encrypted corpus stored on a server, from a digital request calculated on a customer device, containing a sequence of terms, includes the following steps: encryption of the request on a customer computer device and transmission of same to a database management server; and homomorphic calculation, on the server, of the encrypted response to the encrypted request recorded on the server. The method further comprises an additional requesting step performed on the customer device; and presentation of the result in an ordered form of the documents, in application of the processing of the previous step. The present disclosure also relates to a method for preparing a requestable base and to a method for information retrieval in an encrypted corpus.

Abstract: The present disclosure involves systems, software, and computer implemented methods for accessing an object store. One example method includes providing a persistency factory object configured to provide access to multiple types of persistency adapters. Each type of persistency adapter is configured to interface with a particular object store. A persistency adapter request is received from a consumer. A type of adapter to provide is determined. A determination is made that the consumer is configured to interface with a first object store and that a first persistency adapter class is associated with the first object store. A run-time reference to an instance of the first persistency adapter class is provided to the consumer. A first object store operation request to perform a first object store operation is received. The instance of the first persistency adapter class interfaces with the first object store to fulfill the first object store operation request.

Abstract: A method for querying a storage system is provided. The method includes receiving, at one of a plurality of storage nodes of the storage system, a query relating to metadata of the storage system. The method includes determining which authorities have ownership of ranges of user data to which the query pertains and distributing the query or portions of the query to the authorities that have ownership of the data, wherein each of the authorities access the metadata of the storage system associated with the query. The method includes aggregating replies to the query from the authorities that have ownership of the ranges of user data, to form a query reply.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: A system is disclosed that comprises a field programmable gate array (FPGA), a network interface, and hardware description code, wherein the hardware description code is compilable into a plurality of bit configuration files for loading onto the FPGA, wherein each bit configuration file defines a pipelined processing operation for a hardware template. The FPGA comprises configurable hardware logic, and the FPGA can be accessible over a network via the network interface for commanding the FPGA to load a bit configuration file from among the bit configuration files onto the FPGA to thereby configure hardware logic on the FPGA to perform the pipelined processing operation defined by the loaded bit configuration file, and wherein the FPGA is configured to (1) receive streaming data and (2) process the streaming data through the configured hardware logic to perform the pipelined processing operation defined by the loaded bit configuration file on the streaming data.

Abstract: In one example, a method includes measuring an amount of physical storage space used, or expected to be used, by a portion of a dataset S of segments, and measuring the amount of physical storage space includes receiving information that identifies an ad-hoc group of size ‘n’ of files F1 . . . Fn that makes up a subset of the dataset S, determining a number of unique segments in the dataset S, identifying a respective unique segment set UF1 . . . UFN for each of the ‘n’ files in the ad-hoc group of files, performing a set union operation on the unique segment sets UF1 . . . UFN, and determining a sum of sizes of the unique segment sets UF1 . . . UFN, where the sum is the amount of physical storage space used or expected to be used by the ad-hoc group of size ‘n’ of files F1 . . . Fn.

Abstract: Computer systems, devices, and associated methods of intelligent content management are disclosed herein. In one embodiment, a method includes scanning a document to determine whether one or more words in the document represent a resource in the file management system, the resource being a name of a person or a linked document in the file management system. In response to determining that one or more words in the document represents a resource, the method includes retrieving a resource record corresponding to the resource from a database in the computing system, the resource record having a data field containing data representing a current status of the resource and surfacing, in the document, the retrieved data of the current status of the resource to the user.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: In one example in accordance with the present disclosure, a method may include separating a list of keywords into a set of word tokens and a set of wildcard tokens. The method may also include removing each wildcard token in the set of wildcard tokens that is inferred by at least one word token in the set of word tokens and removing each wildcard token in the set of wildcard tokens that is inferred by at least one other wildcard token in the set of wildcard tokens. The method may also include executing a search query comprising a new list of keywords that includes each wildcard token not removed from the set of wildcard tokens.

Abstract: In an embodiment, a query system sends compact code to a database service for expansion of the compact code to partially-expanded code and expanded code. In an embodiment, a hash value is generated based on the partially-expanded code and indexed in memory with the expanded code. In an embodiment, a hash value is received as part of a command and expanded code is identified based on the hash value and sent to a database service.