35 lines
2.0 KiB
Markdown
35 lines
2.0 KiB
Markdown
---
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title: Talks & Powered By
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keywords: talks
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sidebar: mydoc_sidebar
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permalink: powered_by.html
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toc: false
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---
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## Adoption
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#### Uber
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Hoodie was originally developed at [Uber](https://uber.com), to achieve [low latency database ingestion, with high efficiency](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32).
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It has been in production since Aug 2016, powering ~100 highly business critical tables on Hadoop, worth 100s of TBs(including top 10 including trips,riders,partners).
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It also powers several incremental Hive ETL pipelines and being currently integrated into Uber's data dispersal system.
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## Talks & Presentations
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1. ["Hoodie: Incremental processing on Hadoop at Uber"](https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/56511) - By Vinoth Chandar & Prasanna Rajaperumal
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Mar 2017, Strata + Hadoop World, San Jose, CA
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2. ["Hoodie: An Open Source Incremental Processing Framework From Uber"](http://www.dataengconf.com/hoodie-an-open-source-incremental-processing-framework-from-uber) - By Vinoth Chandar.
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Apr 2017, DataEngConf, San Francisco, CA [Slides](https://www.slideshare.net/vinothchandar/hoodie-dataengconf-2017) [Video](https://www.youtube.com/watch?v=7Wudjc-v7CA)
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3. ["Incremental Processing on Large Analytical Datasets"](https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/) - By Prasanna Rajaperumal
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June 2017, Spark Summit 2017, San Francisco, CA. [Slides](https://www.slideshare.net/databricks/incremental-processing-on-large-analytical-datasets-with-prasanna-rajaperumal-and-vinoth-chandar) [Video](https://www.youtube.com/watch?v=3HS0lQX-cgo&feature=youtu.be)
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## Articles
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1. ["The Case for incremental processing on Hadoop"](https://www.oreilly.com/ideas/ubers-case-for-incremental-processing-on-hadoop) - O'reilly Ideas article by Vinoth Chandar
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2. ["Hoodie: Uber Engineering's Incremental Processing Framework on Hadoop"](https://eng.uber.com/hoodie/) - Engineering Blog By Prasanna Rajaperumal
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