Data Pipeline Architecture for Analytics Processing Stack

Data Pipeline Architecture for Analytics Processing Stack

A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Das, Jagaran, Yelisetty, Srinivas, Tung, Teresa Sheausan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Das, Jagaran
Yelisetty, Srinivas
Tung, Teresa Sheausan
description A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2018329644A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2018329644A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2018329644A13</originalsourceid><addsrcrecordid>eNrjZLB0SSxJVAjILEjNycxLVXAsSs7ILElNLiktSlVIyy9ScMxLzKksyUwuVggoyk9OLS7OzEtXCC5JTM7mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoYWxkaWZiYmjobGxKkCAN7LL3c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Data Pipeline Architecture for Analytics Processing Stack</title><source>esp@cenet</source><creator>Das, Jagaran ; Yelisetty, Srinivas ; Tung, Teresa Sheausan</creator><creatorcontrib>Das, Jagaran ; Yelisetty, Srinivas ; Tung, Teresa Sheausan</creatorcontrib><description>A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20181115&amp;DB=EPODOC&amp;CC=US&amp;NR=2018329644A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20181115&amp;DB=EPODOC&amp;CC=US&amp;NR=2018329644A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Das, Jagaran</creatorcontrib><creatorcontrib>Yelisetty, Srinivas</creatorcontrib><creatorcontrib>Tung, Teresa Sheausan</creatorcontrib><title>Data Pipeline Architecture for Analytics Processing Stack</title><description>A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB0SSxJVAjILEjNycxLVXAsSs7ILElNLiktSlVIyy9ScMxLzKksyUwuVggoyk9OLS7OzEtXCC5JTM7mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoYWxkaWZiYmjobGxKkCAN7LL3c</recordid><startdate>20181115</startdate><enddate>20181115</enddate><creator>Das, Jagaran</creator><creator>Yelisetty, Srinivas</creator><creator>Tung, Teresa Sheausan</creator><scope>EVB</scope></search><sort><creationdate>20181115</creationdate><title>Data Pipeline Architecture for Analytics Processing Stack</title><author>Das, Jagaran ; Yelisetty, Srinivas ; Tung, Teresa Sheausan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2018329644A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Das, Jagaran</creatorcontrib><creatorcontrib>Yelisetty, Srinivas</creatorcontrib><creatorcontrib>Tung, Teresa Sheausan</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Das, Jagaran</au><au>Yelisetty, Srinivas</au><au>Tung, Teresa Sheausan</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Data Pipeline Architecture for Analytics Processing Stack</title><date>2018-11-15</date><risdate>2018</risdate><abstract>A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2018329644A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Data Pipeline Architecture for Analytics Processing Stack
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T13%3A22%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Das,%20Jagaran&rft.date=2018-11-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2018329644A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true