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Adding documentation for migration guide and COW vs MOR tradeoffs, moving some docs around for more clarity

This commit is contained in:
Nishith Agarwal
2018-09-25 16:04:50 -07:00
committed by vinoth chandar
parent 1628d044ac
commit 48aa026dc4
7 changed files with 143 additions and 32 deletions

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@@ -26,7 +26,13 @@ It also powers several incremental Hive ETL pipelines and being currently integr
3. ["Incremental Processing on Large Analytical Datasets"](https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/) - By Prasanna Rajaperumal
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)
4. ["Hudi: Unifying storage and serving for batch and near-real-time analytics"](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/70937) - By Nishith Agarwal & Balaji Vardarajan
September 2018, Strata Data Conference, New York, NY
5. ["Hudi: Large-Scale, Near Real-Time Pipelines at Uber"](https://databricks
.com/session/hudi-near-real-time-spark-pipelines-at-petabyte-scale) - By Vinoth Chander & Nishith Agarwal
October 2018, Spark+AI Summit Europe, London, UK
## Articles
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