Real-time streaming data ingestion into database tables

A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query proces...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sotolongo, Daniel E, Cseri, Istvan, Akidau, Tyler Arthur, Zhang, Zhuo, Jones, Tyler
Format: Patent
Sprache:eng
Schlagworte:
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 Sotolongo, Daniel E
Cseri, Istvan
Akidau, Tyler Arthur
Zhang, Zhuo
Jones, Tyler
description A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11893029B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11893029B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11893029B23</originalsourceid><addsrcrecordid>eNrjZDAPSk3M0S3JzE1VKC4pSk3MzcxLV0hJLElUADJSi0sy8_OArJJ8sFhSYnGqApDKSS3mYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxocGGhhaWxgZGlk5GxsSoAQDQ3y4S</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Real-time streaming data ingestion into database tables</title><source>esp@cenet</source><creator>Sotolongo, Daniel E ; Cseri, Istvan ; Akidau, Tyler Arthur ; Zhang, Zhuo ; Jones, Tyler</creator><creatorcontrib>Sotolongo, Daniel E ; Cseri, Istvan ; Akidau, Tyler Arthur ; Zhang, Zhuo ; Jones, Tyler</creatorcontrib><description>A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240206&amp;DB=EPODOC&amp;CC=US&amp;NR=11893029B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240206&amp;DB=EPODOC&amp;CC=US&amp;NR=11893029B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Sotolongo, Daniel E</creatorcontrib><creatorcontrib>Cseri, Istvan</creatorcontrib><creatorcontrib>Akidau, Tyler Arthur</creatorcontrib><creatorcontrib>Zhang, Zhuo</creatorcontrib><creatorcontrib>Jones, Tyler</creatorcontrib><title>Real-time streaming data ingestion into database tables</title><description>A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAPSk3M0S3JzE1VKC4pSk3MzcxLV0hJLElUADJSi0sy8_OArJJ8sFhSYnGqApDKSS3mYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxocGGhhaWxgZGlk5GxsSoAQDQ3y4S</recordid><startdate>20240206</startdate><enddate>20240206</enddate><creator>Sotolongo, Daniel E</creator><creator>Cseri, Istvan</creator><creator>Akidau, Tyler Arthur</creator><creator>Zhang, Zhuo</creator><creator>Jones, Tyler</creator><scope>EVB</scope></search><sort><creationdate>20240206</creationdate><title>Real-time streaming data ingestion into database tables</title><author>Sotolongo, Daniel E ; Cseri, Istvan ; Akidau, Tyler Arthur ; Zhang, Zhuo ; Jones, Tyler</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11893029B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Sotolongo, Daniel E</creatorcontrib><creatorcontrib>Cseri, Istvan</creatorcontrib><creatorcontrib>Akidau, Tyler Arthur</creatorcontrib><creatorcontrib>Zhang, Zhuo</creatorcontrib><creatorcontrib>Jones, Tyler</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sotolongo, Daniel E</au><au>Cseri, Istvan</au><au>Akidau, Tyler Arthur</au><au>Zhang, Zhuo</au><au>Jones, Tyler</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Real-time streaming data ingestion into database tables</title><date>2024-02-06</date><risdate>2024</risdate><abstract>A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US11893029B2
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Real-time streaming data ingestion into database tables
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T23%3A34%3A20IST&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=Sotolongo,%20Daniel%20E&rft.date=2024-02-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11893029B2%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