Patents by Inventor Rajesh Raman
Rajesh Raman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240143612Abstract: Systems and methods are described for generation and execution of modified queries. An input can be received via a visualization of a user interface. The input may identify a first field value and a first field for execution of a query. A set of data for execution of the query can be identified based on the input. Alias data may identify a second field that is associated with the first field. Using the alias data, a modified query can be generated based on the query and the second field. The modified query can be executed to generate query results. The query results can be displayed via a visualization of the user interface based on the first field.Type: ApplicationFiled: October 31, 2022Publication date: May 2, 2024Inventors: Nasim Bigdelu, Margaret Kelley, Mirjana Tesic, Rebecca Tortell, Rajesh Raman
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Patent number: 11947528Abstract: Systems and methods are described for generation of a query using a non-textual input. For example, the query can be generated using a point and click input. A selection of a data source can be identified and an initial query can be automatically generated based on the selection of the data source. A graphical user interface can be displayed and populated with one or more selectable parameters based on the initial query. A selection of the one or more selectable parameters can be received as a non-textual input and a query can be automatically generated based on the selection. For example, a query for execution by a data intake and query system can be generated based on the selection. The query can be provided to the data intake and query system. The data intake and query system may then execute the query on a set of data.Type: GrantFiled: January 31, 2022Date of Patent: April 2, 2024Assignee: Splunk Inc.Inventors: Ankit Bhagat, Steven Karis, Amin Moshgabadi, Rajesh Raman
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Patent number: 11941353Abstract: Disclosed is an improved computer architecture for generating an electronic data layout by having a user input a portion of dataset and obtaining the remaining portion of the format data from a data storage that stores reusable data for various data layouts. A master data object is configured to store “request-agnostic data,” which is typically that portion of dataset that does not differ, or is common, between various data layouts. The data that differs between various data layouts, such as the data that is specific to a form, may be considered as “request-specific data.” When a data layout generation request is received, the user may be prompted to input request-specific data, but not the request-agnostic data. The system automatically obtains the request-agnostic data from the master data object, and integrates the request-agnostic data with the request-specific data to generate the form.Type: GrantFiled: November 11, 2021Date of Patent: March 26, 2024Assignee: THE BANK OF NEW YORK MELLONInventors: Rajesh Raman, Aishwarya Maurya, Joanna Graper, Yi Cong Chen, Purushothaman Krishnamurthy
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Patent number: 11928046Abstract: An analysis system receives data streams generated by instances of instrumented software executing on external systems. The analysis system evaluates an expression using data values of the data streams over a plurality of time intervals. For example, the analysis system may aggregate data values of data streams for each time interval. The analysis system determines whether or not a data stream is considered for a time interval based on when the data value arrives during the time interval. The analysis system determines a maximum expected delay value for each data stream being processed. The analysis system evaluates the expression using data values that arrive before their maximum expected delay values. The analysis system also determines a failure threshold value for a data stream. If a data value of a data stream fails to arrive before the failure threshold value, the analysis system marks the data stream as dead.Type: GrantFiled: October 29, 2021Date of Patent: March 12, 2024Assignee: Splunk Inc.Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman
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Patent number: 11899670Abstract: Systems and methods are described for generation of queries for execution by a separate system. In order establish a connection with the separate system, credentials can be obtained. For example, the credentials may be based on a user identifier and/or a login identifier. Indices can be identified that correspond to the credentials and a query can be identified that includes a selection of at least one of the indices. For example, the query may identify a set of log data ingested and indexed by the separate system. A request that includes the query, the credentials, and a connection identifier can be communicated to the separate system. In response to the request, a set of data can be received from the separate system. The set of data can be provided to a computing device. For example, the set of data can be provided to a computing device providing the query.Type: GrantFiled: January 31, 2022Date of Patent: February 13, 2024Assignee: Splunk Inc.Inventors: Ankit Bhagat, Steven Karis, Amin Moshgabadi, Rajesh Raman
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Publication number: 20230359731Abstract: Techniques for generating an identifier index table (IIT) and for executing queries are disclosed. The IIT maps different labels used among different data sources to a commonly defined data type. The IIT is used to generate a set of queries that are executable based on selection of the commonly defined data type and that are executable against the different data sources to search for an indicator of compromise (IOC) within the different data sources. The results from the queries are analyzed in an attempt to identify the IOC.Type: ApplicationFiled: May 9, 2022Publication date: November 9, 2023Inventors: Sekhar Poornananda CHINTALAPATI, Pieter Kristian BROUWER, Gaurav Anil YEOLE, Virendra VISHWAKARMA, Dattatraya Baban RAJPURE, Mihai Silviu PEICU, Vinod Kumar YELAHANKA SRINIVAS, Rajesh Raman PEDDIBHOTLA
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Patent number: 11797542Abstract: A system processes data stream language expressions that combine result data streams from multiple data stream language sub-expressions. The system determines a set of fixed dimensions based on static analysis of the data stream language sub-expression. The system determines a union set representing a union of the sets of fixed dimensions. The system determines at execution time of the data stream language expression, a plurality of sets of data streams. Each set of data stream corresponds to a data stream language sub-expression from the plurality of data stream language expressions. The system correlates data streams across the plurality of sets of data streams based on the union set. The system determines result data streams for the data stream language expression by combining data values of correlated data streams.Type: GrantFiled: July 13, 2021Date of Patent: October 24, 2023Assignee: Splunk Inc.Inventors: Rajesh Raman, Maxime Petazzoni, Arijit Mukherji, Phillip Liu
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Patent number: 11733982Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.Type: GrantFiled: February 12, 2021Date of Patent: August 22, 2023Assignee: Splunk Inc.Inventors: Rajesh Raman, Arijit Mukherji, Kris Grandy, Phillip Liu
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Patent number: 11709661Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.Type: GrantFiled: August 21, 2019Date of Patent: July 25, 2023Assignee: Splunk Inc.Inventors: Rajesh Raman, Arijit Mukherji, Kris Grandy, Phillip Liu
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Publication number: 20230146197Abstract: Disclosed is an improved computer architecture for generating an electronic data layout by having a user input a portion of dataset and obtaining the remaining portion of the format data from a data storage that stores reusable data for various data layouts. A master data object is configured to store “request-agnostic data,” which is typically that portion of dataset that does not differ, or is common, between various data layouts. The data that differs between various data layouts, such as the data that is specific to a form, may be considered as “request-specific data.” When a data layout generation request is received, the user may be prompted to input request-specific data, but not the request-agnostic data. The system automatically obtains the request-agnostic data from the master data object, and integrates the request-agnostic data with the request-specific data to generate the form.Type: ApplicationFiled: November 11, 2021Publication date: May 11, 2023Inventors: Rajesh RAMAN, Aishwarya MAURYA, Joanna GRAPER, Yi Cong CHEN, Purushothaman KRISHNAMURTHY
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Publication number: 20230120313Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.Type: ApplicationFiled: April 14, 2022Publication date: April 20, 2023Inventors: Nishant Agarwal, Houwu Bai, Darshan Patel, Rajesh Raman, Joseph Ari Ross
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Publication number: 20230118988Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.Type: ApplicationFiled: April 14, 2022Publication date: April 20, 2023Inventors: Nishant Agarwal, Houwu Bai, Darshan Patel, Rajesh Raman, Joseph Ari Ross
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Patent number: 11194697Abstract: An analysis system receives data streams generated by instances of instrumented software executing on external systems. The analysis system evaluates an expression using data values of the data streams over a plurality of time intervals. For example, the analysis system may aggregate data values of data streams for each time interval. The analysis system determines whether or not a data stream is considered for a time interval based on when the data value arrives during the time interval. The analysis system determines a maximum expected delay value for each data stream being processed. The analysis system evaluates the expression using data values that arrive before their maximum expected delay values. The analysis system also determines a failure threshold value for a data stream. If a data value of a data stream fails to arrive before the failure threshold value, the analysis system marks the data stream as dead.Type: GrantFiled: August 21, 2019Date of Patent: December 7, 2021Assignee: Splunk Inc.Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman
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Patent number: 11093506Abstract: A system processes data stream language expressions that combine result data streams from multiple data stream language sub-expressions. The system determines a set of fixed dimensions based on static analysis of the data stream language sub-expression. The system determines a union set representing a union of the sets of fixed dimensions. The system determines at execution time of the data stream language expression, a plurality of sets of data streams. Each set of data stream corresponds to a data stream language sub-expression from the plurality of data stream language expressions. The system correlates data streams across the plurality of sets of data streams based on the union set. The system determines result data streams for the data stream language expression by combining data values of correlated data streams.Type: GrantFiled: May 30, 2019Date of Patent: August 17, 2021Assignee: Splunk Inc.Inventors: Rajesh Raman, Maxime Petazzoni, Arijit Mukherji, Phillip Liu
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Patent number: 11010278Abstract: A data analysis system processes data generated by instrumented software. The data analysis system receives data streams generated by instances of instrumented software executing on systems. The data analysis system also receives metadata describing data streams. The data analysis system receives an expression based on the metadata. The data analysis system receives data of data streams for each time interval and computes the result of the expression based on the received data values. The data analysis system repeats these steps for each time interval. The data analysis system may quantize data values of data streams for each time interval by generating an aggregate value for the time interval based on data received for each data stream for that time interval. The data analysis system evaluates the expression using the quantized data for the time interval.Type: GrantFiled: August 16, 2019Date of Patent: May 18, 2021Assignee: Splunk Inc.Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman, Kris Grandy, Jack Lindamood
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Patent number: 10949180Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.Type: GrantFiled: September 7, 2017Date of Patent: March 16, 2021Assignee: Splunk Inc.Inventors: Rajesh Raman, Arijit Mukherji, Kris Grandy, Phillip Liu
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Publication number: 20200050535Abstract: An analysis system receives data streams generated by instances of instrumented software executing on external systems. The analysis system evaluates an expression using data values of the data streams over a plurality of time intervals. For example, the analysis system may aggregate data values of data streams for each time interval. The analysis system determines whether or not a data stream is considered for a time interval based on when the data value arrives during the time interval. The analysis system determines a maximum expected delay value for each data stream being processed. The analysis system evaluates the expression using data values that arrive before their maximum expected delay values. The analysis system also determines a failure threshold value for a data stream. If a data value of a data stream fails to arrive before the failure threshold value, the analysis system marks the data stream as dead.Type: ApplicationFiled: August 21, 2019Publication date: February 13, 2020Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman
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Publication number: 20200050437Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.Type: ApplicationFiled: August 21, 2019Publication date: February 13, 2020Inventors: Rajesh Raman, Arijit Mukherji, Kris Grandy, Phillip Liu
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Publication number: 20200042429Abstract: A data analysis system processes data generated by instrumented software. The data analysis system receives data streams generated by instances of instrumented software executing on systems. The data analysis system also receives metadata describing data streams. The data analysis system receives an expression based on the metadata. The data analysis system receives data of data streams for each time interval and computes the result of the expression based on the received data values. The data analysis system repeats these steps for each time interval. The data analysis system may quantize data values of data streams for each time interval by generating an aggregate value for the time interval based on data received for each data stream for that time interval. The data analysis system evaluates the expression using the quantized data for the time interval.Type: ApplicationFiled: August 16, 2019Publication date: February 6, 2020Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman, Kris Grandy, Jack Lindamood
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Publication number: 20200042430Abstract: A data analysis system processes data generated by instrumented software. The data analysis system receives data streams generated by instances of instrumented software executing on systems. The data analysis system also receives metadata describing data streams. The data analysis system receives an expression based on the metadata. The data analysis system receives data of data streams for each time interval and computes the result of the expression based on the received data values. The data analysis system repeats these steps for each time interval. The data analysis system may quantize data values of data streams for each time interval by generating an aggregate value for the time interval based on data received for each data stream for that time interval. The data analysis system evaluates the expression using the quantized data for the time interval.Type: ApplicationFiled: August 17, 2019Publication date: February 6, 2020Inventors: Phillip Liu, Arijit Mukherji, Rajesh Raman, Kris Grandy, Jack Lindamood