{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T15:31:35Z","timestamp":1725723095758},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671438","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"1974-1979","source":"Crossref","is-referenced-by-count":2,"title":["Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds"],"prefix":"10.1109","author":[{"given":"Lohit","family":"VijayaRenu","sequence":"first","affiliation":[]},{"given":"Zhenzhao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Praveen","family":"Killamsetti","sequence":"additional","affiliation":[]},{"given":"Tisha","family":"Emmanuel","sequence":"additional","affiliation":[]},{"given":"Abhishek","family":"Jagannath","sequence":"additional","affiliation":[]},{"given":"Lakshman Ganesh","family":"Rajamani","sequence":"additional","affiliation":[]},{"given":"Joep","family":"Rottinghuis","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Large Scale Event Log Management @Twitter","author":"vijayarenu","year":"2018","journal-title":"IEEE Infrastructure"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF47748.2020.9377618"},{"journal-title":"NetDB workshop ’11","article-title":"Kafka: a Distributed Messaging System for Log Processing by Jay Kreps, Neha Narkhede, Jun Rao","year":"2011","key":"ref12"},{"year":"0","key":"ref13"},{"key":"ref14","first-page":"734","article-title":"Fault-Tolerant Stream Processing at Internet Scale, Tyler Akidau, Alex Balikov, Kaya Bekiroglu, Slava Chernyak, Josh Haberman, Reuven Lax, Sam McVeety, Daniel Mills, Paul Nordstrom, Sam Whittle","year":"2013","journal-title":"Very Large Data Bases"},{"year":"0","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2595631"},{"journal-title":"Google Cloud Storage","year":"0","key":"ref17"},{"journal-title":"Amplitude","year":"0","key":"ref18"},{"year":"0","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3242153.3242155"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742788"},{"journal-title":"Google Stackdriver","year":"0","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824132"},{"year":"0","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457552"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00196"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2010.5447738"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"year":"0","key":"ref9"},{"year":"0","author":"hashemi","key":"ref1"},{"journal-title":"An advanced unified programming model","year":"0","key":"ref20"},{"journal-title":"Apache Airflow","year":"0","key":"ref22"},{"journal-title":"Google dataflow","year":"0","key":"ref21"},{"journal-title":"Dapper a Large-Scale Distributed Systems Tracing Infrastructure Benjamin H Sigelman Luiz Andr Barroso Mike Burrows Pat Stephenson Manoj Plakal Donald Beaver Saul Jaspan","year":"2010","key":"ref24"},{"journal-title":"Google BigQuery streaming ingestion","year":"0","key":"ref23"},{"journal-title":"Observability at Twitter","year":"0","key":"ref26"},{"journal-title":"Real-Time Analytics Techniques to Analyze and Visualize Streaming Data","year":"2014","author":"ellis","key":"ref25"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671438.pdf?arnumber=9671438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:32Z","timestamp":1652201732000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671438","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}