Xiangrui Meng

[Xiangrui Meng @xmeng]

@esaliya @matei_zaharia @ApacheSpark You can use verbose mode to see the actual conversations with LLMs.

[Xiangrui Meng @xmeng]

@dersteppen @matei_zaharia @ApacheSpark You can use the caching feature to make result reproducible.

[Xiangrui Meng @xmeng]

@peterwrose @stanfordnlp @ApacheSpark We are going to make a Spark 2.0 compatible release this week.

[Stanford NLP Group @stanfordnlp]

🆕 Stanford CoreNLP in @ApacheSpark, wrapped as DataFrame functions by @xmeng 🌲+ ⭐→🎉🎊 https://t.co/NRoBoMfpZK https://t.co/Jd2IcmLWBR #nlproc

[Michael Armbrust @michaelarmbrust]

Analyzing tweets of the election at #SparkSummit using #Databricks CE - https://t.co/sUAcxN3ZtN

[Kavitha Mariappan @kmariappan]

.@databricks Announces GA of Community Edition at #SparkSummit 2016. Sign up here: https://t.co/EmnvEJEDxS https://t.co/f5KOO6nh62

[Databricks @databricks]

.@ApacheSpark for all, watch the @Databricks #SparkSummit demo online: https://t.co/MWewDN0Kpv

[Elaine McVey @eamcvey]

Totally blown away by the @databricks notebook demo - language mixing, real-time code collaboration, easy plotting. Wow. #SparkSummit

[Xiangrui Meng @xmeng]

Spark is amazing and really easy to use on Databricks. Very cool

[A3Data @a3data]

R and Spark - perfect match?
http://t.co/yt09CD85Me
@ApacheSpark

[jeremy freeman @thefreemanlab]

excited for #sparksummit starting tomorrow!

[Xiangrui Meng @xmeng]

#sparksummit

[Patrick Wendell @pwendell]

We've come a long way! @ApacheSpark's 10,000th commit was just merged by @xmeng.

[Databricks @databricks]

We are back from #StrataHadoop and we are sharing the material from our talks, read more: http://t.co/UDE75kLo9s
@databricks

[Databricks @databricks]

We are happy to announce DataFrames in Spark, read more about how to use it: http://t.co/6YqLxLhPwZ
@databricks @ApacheSpark

[Databricks @databricks]

Check out our new blog post about the exciting new additions to Spark we are planning for 2015: http://t.co/7Jwk5dcsqy

[Databricks @databricks]

Check out our new blog post about streaming k-means http://t.co/RovW4l6oNL @databricks @ApacheSpark

[Xiangrui Meng @xmeng]

#RandomForests and #GradientBoosting on @ApacheSpark http://t.co/9u7ShanFug

[Databricks @databricks]

Databricks Moves HQ to San Francisco; Hires Marketing VP @kmariappan http://t.co/Xf1t9spNuQ

[Databricks @databricks]

More on Spark SQL's new datasources API - now available in Spark 1.2: http://t.co/IMPtJ8KG7k