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US Patent 11308114 Platform for provisioning a data analytics environment

Patent 11308114 was granted and assigned to Cazena on April, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Current Assignee
Cazena
Cazena
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
113081141
Patent Inventor Names
Pratyush Moghe1
Date of Patent
April 19, 2022
1
Patent Application Number
145811881
Date Filed
December 23, 2014
1
Patent Citations
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US Patent 10235439 Systems and methods for data warehousing in private cloud environment
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US Patent 10250451 Intelligent analytic cloud provisioning
Patent Citations Received
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US Patent 12105683 System and method for creating template for database services
6
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US Patent 11604806 System and method for highly available database service
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US Patent 11604762 System and method for provisioning databases in a hyperconverged infrastructure system
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US Patent 11640340 System and method for backing up highly available source databases in a hyperconverged system
11
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US Patent 11675690 Lineage-driven source code generation for building, testing, deploying, and maintaining data marts and data pipelines
12
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US Patent 11907167 Multi-cluster database management services
13
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US Patent 11907517 User interface for database management services
14
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US Patent 11995100 System and method for highly available database service
15
...
Patent Primary Examiner
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Farhan M Syed
1
CPC Code
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G06F 17/00
1
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G06F 16/00
1

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. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.

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