Data integration for distributed and massively parallel processing environments

a data integration and processing environment technology, applied in multi-dimensional databases, database management systems, instruments, etc., can solve problems such as conflict, increasing number of challenges that are not amenable to increasing, and traditional database techniques that have not generally focused on challenges
US20220253454A1Inactive Publication Date: 2022-08-11THOUGHTSPOT INC
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
THOUGHTSPOT INC
Publication Date
2022-08-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

Methods and systems for large scale data integration in distributed or massively parallel environments comprises a development phase wherein the results of a proposed jobflow can be viewed by the user during development, including the results of upstream units where the data sources and data targets can be any of a variety of different platforms, and further comprises the use of remote agents proximate to those data sources and data targets with direct communication between the associated agents under the direction of a topologically central controller to provide, among other things, improved security, reduced latency, reduced bandwidth requirements, and faster throughput.
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Description

RELATED APPLICATION

[0001] This application is a Continuation of U.S. patent application Ser. No. 16 / 611,199 filed on Nov. 5, 2019, which claims priority to and the benefit of International Patent Application No. PCT / US2018 / 031220 filed May 4, 2018, which claims priority to U.S. provisional patent application No. 62 / 502,594 filed 5 May 2017, each of which are incorporated herein by reference in their entirety.BACKGROUNDField of the Invention

[0002] The present invention relates generally to data integration in either distributed or massively parallel processing environments, and, in one aspect, more particularly relates to interactive development of extract, load and transform data flows while, in another aspect, relates to the use of geographically dispersed agents to simplify extract, load and transform processes with enhanced security and improved data compression.Related Art

[0003] More and more, data analysts require the use of data outside the control of their own organizations. Gre...

Claims

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