Patents Assigned to Cazena, Inc.
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Patent number: 11902248Abstract: A method for rapid deployment by a service provider of a data lake in association with a cloud computing service. In response to a request to provision the data lake, a new cloud account is created. Within the new cloud account, a service provider access role and associated permissions are created. The new cloud account is then associated, by cross-trust, with an account in the cloud computing service that is one of: a service provider deployment account, and a customer account. A private data cloud is then associated with the service provider deployment account or the customer account, as the case may be. The private data cloud is uniquely associated with the new cloud account and the data lake. A firewall service enabling secure access between the data lake and an external enterprise network is provisioned. The data lake is then provisioned in the private data cloud to complete the rapid deployment.Type: GrantFiled: July 14, 2021Date of Patent: February 13, 2024Assignee: Cazena, Inc.Inventors: Pratyush Moghe, John Piekos, Brett Russ, Venkat Chandra, Brian LaChance, Justin Bradfield, Durgesh Mankekar, Lovantheran Chetty
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Patent number: 11888702Abstract: A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.Type: GrantFiled: February 1, 2022Date of Patent: January 30, 2024Assignee: Cazena, Inc.Inventors: Pratyush Moghe, Peter Thomas Smith, Craig Steven Harris, Mineharu Takahara, Lovantheran Chetty, Daniel Dietterich
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Patent number: 11308114Abstract: A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The lifecycle of data analytics from movement to warehousing, however, is provided by the platform.Type: GrantFiled: December 23, 2014Date of Patent: April 19, 2022Assignee: Cazena, Inc.Inventor: Pratyush Moghe
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Patent number: 11240117Abstract: A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.Type: GrantFiled: April 1, 2019Date of Patent: February 1, 2022Assignee: Cazena, Inc.Inventors: Pratyush Moghe, Peter Thomas Smith, Craig Steven Harris, Mineharu Takahara, Lovantheran Chetty, Daniel Dietterich
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Patent number: 10250451Abstract: A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.Type: GrantFiled: January 13, 2015Date of Patent: April 2, 2019Assignee: Cazena, Inc.Inventors: Pratyush Moghe, Peter Thomas Smith, Craig Steven Harris, Mineharu Takahara, Lovantheran Chetty, Daniel Dietterich