Patents by Inventor Awny Kayed Al-Omari

Awny Kayed Al-Omari 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).

  • Publication number: 20210397975
    Abstract: Hyperparameter tuning for a machine learning model is performed in a massively parallel database system. A computer system comprised of a plurality of compute units executes a relational database management system (RDBMS), wherein the RDBMS manages a relational database comprised of one or more tables storing data. One or more of the compute units perform the hyperparameter tuning for the machine learning model, wherein the hyperparameters are control parameters used in construction of the model, and the tuning of the hyperparameters is implemented as an operation in the RDBMS that accepts training and scoring data for the model, constructs the model using the hyperparameters and the training data, and generates goodness metrics for the model using the scoring data.
    Type: Application
    Filed: December 16, 2020
    Publication date: December 23, 2021
    Applicant: Teradata US, Inc.
    Inventors: Awny Kayed Al-Omari, Maksym Sergiyovych Oblogin, Khaled Bouaziz, Michael James Hanlon, Kashif Abdullah Siddiqui
  • Publication number: 20210382920
    Abstract: A relational database management system (RDBMS) optimizes limit queries over analytical functions, wherein the limit queries include an output clause comprising a LIMIT, TOP and SAMPLE clause with an expression specifying a limit that is a number K or a percentage ? %. The optimizations of the limit queries include: (1) static compile-time optimizations, and (2) dynamic run-time optimizations, based on semantic properties of “granularity” and “input-to-output cardinality” for the analytical functions.
    Type: Application
    Filed: September 28, 2020
    Publication date: December 9, 2021
    Applicant: Teradata US, Inc.
    Inventors: Mohamed Ahmed Yassin Eltabakh, Mahbub Hasan, Awny Kayed Al-Omari, Mohammed Al-Kateb
  • Publication number: 20210191912
    Abstract: Improved techniques for reducing the size of data of the multidimensional data are disclosed. The improved techniques are highly suitable for processing large-scale data and various large-scale data applications (e.g., large-scale Data Mining (DM), large-scale data analysis (LSDA) in computing systems (e.g., Data Information Systems, Database Systems). Redundancy-reduced data can be provided (RRDS) thereby providing data that can be used more efficiently by various applications, especially, large-scale data applications. At least one assumption about the distribution of a multi-dimensional data set (MDDS) and its corresponding set of responses (Y) can be made in order to reduce the multi-dimensional data set (MDDS). It should be noted that the assumption can be made after effectively combining multi-dimensional data set (MDDS) and its corresponding set of responses (Y) so that the set of responses (Y) can also be in considered in effectively reducing the size of the multi-dimensional data set (MDDS).
    Type: Application
    Filed: December 23, 2019
    Publication date: June 24, 2021
    Applicant: Teradata US, Inc.
    Inventors: Choudur K. Lakshminarayan, Thiagarajan Ramakrishnan, Awny Kayed Al-Omari
  • Publication number: 20210117422
    Abstract: A relational database management system (RDBMS) accepts a workload comprised of one or more queries against a relational database. The RDBMS evolves a default cost profile into a plurality of cost profiles using fixed or dynamic evolution, wherein each of the cost profiles captures one or more cost parameters for the workload. The cost profiles are represented by a multi-dimensional matrix that has one or more dimensions, and each of the dimensions represents one of the cost parameters. The RDBMS dynamically determines which of the cost profiles is an optimal cost profile for the workload by mapping the cost profiles to the workload using a random walk scoring algorithm or a biased walk scoring algorithm that searches the multi-dimensional matrix to identify the optimal cost profile. The RDBMS selects and performs one or more query execution plans for the workload based on the optimal cost profile for the workload.
    Type: Application
    Filed: August 18, 2020
    Publication date: April 22, 2021
    Applicant: Teradata US, Inc.
    Inventors: Wellington Marcos Cabrera Arevalo, Kassem Awada, Mahbub Hasan, Allen N. Diaz, Mohammed AI-Kateb, Awny Kayed Al-Omari
  • Publication number: 20210034624
    Abstract: In some examples, a system learns properties of an analytical function based on information of queries invoking the analytical function that have been previously executed, creates a function descriptor for the analytical function based on the learning, and provides the function descriptor for use by an optimizer in generating an execution plan for a received database query that includes the analytical function.
    Type: Application
    Filed: December 23, 2019
    Publication date: February 4, 2021
    Inventors: Mohamed Ahmed Yassin Eltabakh, Mohammed Al-Kateb, Awny Kayed Al-Omari, Sanjay Nair
  • Publication number: 20200278966
    Abstract: As an abstract representation, a set of equivalent logical structures representative of multiple execution plans for execution of a database query can be used to optimize a database query. A logical structure can include one or more logical operators each representing multiple physical operators for executing the database query. Group and Operator Rules can be applied as rules to the set of equivalent logical structures to obtain additional equivalent logical structures and logical operator until no additional logical operators can be obtained. A set of possible implementation plans for the total number of the obtained logical operators can be obtained, for example, based on physical and/or implementation context.
    Type: Application
    Filed: April 28, 2020
    Publication date: September 3, 2020
    Inventors: Awny Kayed Al-Omari, Robert Matthew Wehrmeister, Kashif Abdullah Siddiqui
  • Patent number: 10740329
    Abstract: As an abstract representation, a set of equivalent logical structures representative of multiple execution plans for execution of a database query can be used to optimize a database query. A logical structure can include one or more logical operators each representing multiple physical operators for executing the database query. Group and Operator Rules can be applied as rules to the set of equivalent logical structures to obtain additional equivalent logical structures and logical operator until no additional logical operators can be obtained. A set of possible implementation plans for the total number of the obtained logical operators can be obtained, for example, based on physical and/or implementation context.
    Type: Grant
    Filed: March 12, 2014
    Date of Patent: August 11, 2020
    Assignee: Teradata US, Inc.
    Inventors: Awny Kayed Al-Omari, Robert Matthew Wehrmeister, Kashif Abdullah Siddiqui
  • Patent number: 10740330
    Abstract: The execution of the one or more database queries can be optimized by using a multi-platform cost model that take into account the respective cost of execution in each one of the multiple execution platforms. The respective costs of the execution can, for example, include cost associated with one or more operators for executing the one or more database queries in each one of the multiple execution platforms and/or the costs of exchanging data between the multiple execution platforms.
    Type: Grant
    Filed: March 12, 2014
    Date of Patent: August 11, 2020
    Assignee: Teradata US, Inc.
    Inventors: Robert Matthew Wehrmeister, Awny Kayed Al-Omari, Kashif Abdullah Siddiqui
  • Publication number: 20200183935
    Abstract: Execution of a query invoking an analytical function (AF) is optimized. The query includes a join operation between an AF table and an AuxiliaryTable and includes determining that the AF includes a plurality of AF properties. Query-level properties about the query are inferred. It is determined to change an order of the join operation from the plurality of AF properties and query-level properties.
    Type: Application
    Filed: December 5, 2019
    Publication date: June 11, 2020
    Applicant: Teradata US, Inc
    Inventors: Christina Pavlopoulou, Mahbub Hasan, B. Anantha Subramanian, Mohammed Al-Kateb, Awny Kayed Al-Omari, Kashif Abdullah Siddiqui, Robert Matthew Wehrmeister, Mohamed Yassin Eltabakh
  • Publication number: 20200183921
    Abstract: A database system receives a request from a user. The request invokes a data set function (DSF) and uses a property to be provided by the DSF. The database system determines that a function descriptor is available for the DSF. The function descriptor is expressed as markup language instructions. The function descriptor defines the property of the DSF. The database system uses the function descriptor to define a property for the DSF.
    Type: Application
    Filed: December 5, 2019
    Publication date: June 11, 2020
    Applicant: Teradata US, Inc
    Inventors: B. Anantha Subramanian, Mohamed Yassin Eltabakh, Mahbub Hasan, Robert Matthew Wehrmeister, Awny Kayed Al-Omari, Sanjay Sukumaran Nair, Kashif Abdullah Siddiqui
  • Publication number: 20150032722
    Abstract: As an abstract representation, a set of equivalent logical structures representative of multiple execution plans for execution of a database query can be used to optimize a database query. A logical structure can include one or more logical operators each representing multiple physical operators for executing the database query. Group and Operator Rules can be applied as rules to the set of equivalent logical structures to obtain additional equivalent logical structures and logical operator until no additional logical operators can be obtained. A set of possible implementation plans for the total number of the obtained logical operators can be obtained, for example, based on physical and/or implementation context.
    Type: Application
    Filed: March 12, 2014
    Publication date: January 29, 2015
    Applicant: Teradata Corporation
    Inventors: Awny Kayed Al-Omari, Robert Matthew Wehrmeister, Kashif Abdullah Siddiqui
  • Publication number: 20140317085
    Abstract: The execution of the one or more database queries can be optimized by using a multi-platform cost model that take into account the respective cost of execution in each one of the multiple execution platforms. The respective costs of the execution can, for example, include cost associated with one or more operators for executing the one or more database queries in each one of the multiple execution platforms and/or the costs of exchanging data between the multiple execution platforms.
    Type: Application
    Filed: March 12, 2014
    Publication date: October 23, 2014
    Applicant: Teradata Corporation
    Inventors: Robert Matthew Wehrmeister, Awny Kayed Al-Omari, Kashif Abdullah Siddiqui
  • Publication number: 20140317088
    Abstract: As an abstract representation, a set of equivalent logical structures representative of multiple execution plans for execution of a database query can be used to optimize a database query. A logical structure can include one or more logical operators each representing multiple physical operators for executing the database query. Group and Operator Rules can be applied as rules to the set of equivalent logical structures to obtain additional equivalent logical structures and logical operator until no additional logical operators can be obtained. A set of possible implementation plans for the total number of the obtained logical operators can be obtained, for example, based on physical and/or implementation context.
    Type: Application
    Filed: March 12, 2014
    Publication date: October 23, 2014
    Applicant: Teradata Corporation
    Inventors: Awny Kayed Al-Omari, Robert Matthew Wehrmeister, Kashif Abdullah Siddiqui