Patents by Inventor Omer Ahmed Zaki

Omer Ahmed Zaki 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: 20220253433
    Abstract: Materialized views may be generated at a managed materialized view platform that accepts data streams as a source. When updating a materialized view with a data stream as a source, a stored portion of the stream is used to maintain a history of changes to be made. When a join operation needs to utilize the data stream source to determine an update to the materialized view, the data stream is preserved to complete the join and update the materialized view.
    Type: Application
    Filed: April 15, 2022
    Publication date: August 11, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Patent number: 11397709
    Abstract: A configuration manager of a storage service receives a set of service requirements, comprising one or more of: a performance requirement for one or more types of storage operations, or an access interface type requirement Based on the service requirements, a candidate storage configuration that includes one or more data store instances and a first log-based transaction manager is generated. Subsequent to an approval of the first storage configuration by a client, the establishment of the data store instances and the log-based transaction manager is initiated.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: July 26, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Allan Henry Vermeulen, Omer Ahmed Zaki, Upendra Bhalchandra Shevade, Gregory Rustin Rogers
  • Patent number: 11308079
    Abstract: Materialized views may be generated at a managed materialized view platform that accepts data streams as a source. When updating a materialized view with a data stream as a source, a stored portion of the stream is used to maintain a history of changes to be made. When a join operation needs to utilize the data stream source to determine an update to the materialized view, the data stream is preserved to complete the join and update the materialized view.
    Type: Grant
    Filed: November 29, 2019
    Date of Patent: April 19, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20220058187
    Abstract: Managed materialized views may be generated from across heterogeneous data sources. A request to create a materialized view may be received and performed by a materialized view management platform, which may obtain and generate the materialized view from different data sources and store the materialized view in a target system. Changes to the data sources may be obtained at the materialized view management platform and updates to the materialized view may be determined. The materialized view in the target system may be updated.
    Type: Application
    Filed: September 3, 2021
    Publication date: February 24, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Patent number: 11113273
    Abstract: Managed materialized views may be generated from across heterogeneous data sources. A request to create a materialized view may be received and performed by a materialized view management platform, which may obtain and generate the materialized view from different data sources and store the materialized view in a target system. Changes to the data sources may be obtained at the materialized view management platform and updates to the materialized view may be determined. The materialized view in the target system may be updated.
    Type: Grant
    Filed: November 29, 2019
    Date of Patent: September 7, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20210165783
    Abstract: Materialized views may be generated at a managed materialized view platform that accepts data streams as a source. When updating a materialized view with a data stream as a source, a stored portion of the stream is used to maintain a history of changes to be made. When a join operation needs to utilize the data stream source to determine an update to the materialized view, the data stream is preserved to complete the join and update the materialized view.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20210165803
    Abstract: A materialized view created by a materialized view management platform may be replicated across many different target systems. The materialized view management platform allows users to specify different target systems. To create the materialized view in the different target systems, the materialized view management platform can translate the materialized view into different formats in order to store the materialized view in the different formats. Updates to the different instances of the materialized view are then made to keep the different materialized view formats in the different target systems up-to-date.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20210165789
    Abstract: The maintenance of a materialized view created and managed by a materialized view management platform may be dynamically adjusted. The performance of updates to a materialized view are monitored to trigger different events to make adjustments to the performance of subsequent updates. The materialized view management platform can adequately scale to handle changes to data sources as inputs to the maintenance of the materialized view, as well as make other adjustments handle various changes in the capability of the target data store to receive updates to the materialized view (e.g., target data store outages).
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20210165782
    Abstract: Managed materialized views may be generated from across heterogeneous data sources. A request to create a materialized view may be received and performed by a materialized view management platform, which may obtain and generate the materialized view from different data sources and store the materialized view in a target system. Changes to the data sources may be obtained at the materialized view management platform and updates to the materialized view may be determined. The materialized view in the target system may be updated.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Rohan Deshpande, Yannis Papakonstantinou, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Rajib Dugar, Shivateja Reddy Ummenthala
  • Publication number: 20200167355
    Abstract: Methods, systems, and computer-readable media for edge processing in a distributed time-series database are disclosed. A first set of time-series data is generated by one or more client devices and is associated with one or more time series. A local time-series database stores the first set of time-series data into a local storage tier. The local time-series database generates a second set of time-series data derived from the first set of time-series data. A remote time-series database receives the second set of time-series data from the local time-series database via a network. The remote time-series database stores the second set of time-series data into one or more remote storage tiers.
    Type: Application
    Filed: November 23, 2018
    Publication date: May 28, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Timothy A. Rath, Gaurav Gupta, Mustafa Ozan Ozen, Omer Ahmed Zaki
  • Publication number: 20200167361
    Abstract: Methods, systems, and computer-readable media for continuous functions in a time-series database are disclosed. A plurality of data points of a time series are stored into one or more storage tiers of a time-series database. The plurality of data points comprise a plurality of discrete measurements at respective timestamps. Using one or more query processors of the time-series database, a query of the time series is initiated. The query indicates a time range. Using the one or more query processors, a continuous function is determined that represents a segment of the time series in the time range. The continuous function is determined based at least in part on the plurality of data points. An operation is performed using the continuous function as an input.
    Type: Application
    Filed: November 23, 2018
    Publication date: May 28, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Lonnie J. Princehouse, Timothy A. Rath, Gaurav Gupta, Mustafa Ozan Ozen, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Gaurav Saxena
  • Publication number: 20200167360
    Abstract: Methods, systems, and computer-readable media for a scalable architecture for a distributed time-series database are disclosed. Using a fleet of ingestion routers, time-series data generated by a plurality of client devices is stored into a plurality of durable partitions. The time-series data comprises a plurality of time series, and an amount of the ingestion routers is determined based at least in part on an ingestion rate of the time-series data. Using a fleet of stream processors, the time-series data from the durable partitions is stored into a plurality of storage tiers including a first storage tier and a second storage tier. A retention period for the first storage tier differs from a retention period for the second storage tier. An amount of the stream processors is determined based at least in part on the time-series data in the durable partitions.
    Type: Application
    Filed: November 23, 2018
    Publication date: May 28, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Timothy A. Rath, Gaurav Gupta, Mustafa Ozan Ozen, Omer Ahmed Zaki
  • Publication number: 20200081867
    Abstract: A fleet of query accelerator nodes is established for a data store. Each accelerator node caches data items of the data store locally. In response to determining that an eviction criterion has been met, one accelerator node removes a particular data item from its local cache without notifying any other accelerator node. After the particular data item has been removed, a second accelerator node receives a read query for the particular data item and provides a response using a locally-cached replica of the data item.
    Type: Application
    Filed: November 15, 2019
    Publication date: March 12, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Kiran Kumar Muniswamy Reddy, Anand Sasidharan, Omer Ahmed Zaki, Brian O'Neill
  • Patent number: 10482062
    Abstract: A fleet of query accelerator nodes is established for a data store. Each accelerator node caches data items of the data store locally. In response to determining that an eviction criterion has been met, one accelerator node removes a particular data item from its local cache without notifying any other accelerator node. After the particular data item has been removed, a second accelerator node receives a read query for the particular data item and provides a response using a locally-cached replica of the data item.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: November 19, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Kiran Kumar Muniswamy Reddy, Anand Sasidharan, Omer Ahmed Zaki, Brian O'Neill
  • Patent number: 10373247
    Abstract: Based at least in part on an optimization goal determined for a storage group comprising a plurality of data stores for which writes requests are coordinated by a log-based transaction manager, one or more lifecycle transitions are identified for data objects stored in a first data store. In accordance with a first lifecycle transition, a data object is to be transferred from the first data store to a second data store based at least in part on a duration for which the data object has been resident at the first data store. A transition agent is assigned by a configuration manager to implement the first lifecycle transition.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: August 6, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Allan Henry Vermeulen, Omer Ahmed Zaki
  • Patent number: 10275489
    Abstract: A fleet of query accelerator nodes is established for a data store. A particular node stores a binary encoding of a data item in a local data cache. The encoding identifies a metadata record indicating names of attributes of the data item. In response to receiving a particular query directed to the data item, an executable code component generated to produce a result for the query is cached in a local query code cache. When a second query which meets a matching criterion is received, the executable code component is re-used to obtain a result for the second query.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: April 30, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Kiran Kumar Muniswamy Reddy, Omer Ahmed Zaki, Brian O'Neill
  • Patent number: 10242084
    Abstract: A remote distributed data store may be configured to process data updates received through invocation of a common API with reference to a common schema. A local data store may also be configured to process updates through the common API with reference to the common schema. Updates to the local data store may be mapped from the local data store schema to the common schema, and applied to the distributed data store. Updates to the distributed data store may be mapped from the common schema to the local data store schema. User identity may be verified to limit data synchronization to authorized users.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: March 26, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Khawaja Salman Shams, Prashant Pandey, Swaminathan Sivasubramanian, Omer Ahmed Zaki, David Craig Yanacek, Johanna S Olson, Hendrik de Kock, Johnny Ying Wu
  • Patent number: 10191663
    Abstract: An accelerator intermediary node (AIN) associated with a data store obtains an indication of a control setting to be applied with respect to a write request directed to a data item, where the control setting specifies a target for one or more of replication count, data durability, a transaction grouping with respect to a write request, or back-end synchronization node. Using the control setting, a write propagation node set is identified for the write request. The write propagation node set includes another accelerator intermediary node and/or a storage node of a data store. Respective operation requests corresponding to the write request are transmitted to one or more members of the write propagation node set. A write coordinator role may be verified prior to attempting a commit together of a plurality of write requests as part of a multi-write transaction.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: January 29, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Brian O'Neill, Kevin Christen, Omer Ahmed Zaki, Kiran Kumar Muniswamy Reddy
  • Patent number: 10176242
    Abstract: A remote distributed data store may be configured to process data updates received through invocation of a common API with reference to a common schema. A local data store may also be configured to process updates through the common API with reference to the common schema. Updates to the local data store may be mapped from the local data store schema to the common schema, and applied to the distributed data store. Updates to the distributed data store may be mapped from the common schema to the local data store schema. User identity may be verified to limit data synchronization to authorized users.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: January 8, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Khawaja Salman Shams, Prashant Pandey, Swaminathan Sivasubramanian, Omer Ahmed Zaki, David Craig Yanacek, Johanna S Olson, Hendrik de Kock, Johnny Ying Wu
  • Patent number: 10146833
    Abstract: A fleet of query accelerator nodes is established for a data store. A particular node determines a write throughput limit for back-end writes from the fleet to the data store. A pool of write-back threads is established at the node. When a write request is received at the node, an entry is added to a selected partition of a write-back journal, and a write completion response is provided to the requester without applying the write to the data store. A write-back thread from the pool eventually schedules the back-end write.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: December 4, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Kiran Kumar Muniswamy Reddy, Omer Ahmed Zaki, Brian O'Neill, Anand Sasidharan