Apache Spark, every mention
108 scenes, the whole family · ← back to Apache Spark
tap a year for its mentions
every year anyone Matt Turck 59Haoyuan Li 13Ali Ghodsi 11Stefan Groschupf 10Praveen Murugesan 10Julien Le Dem 9Tobi Knaup 6Matt Housley 6Christopher Nguyen 6Prat Moghe 5
Verbatim, from the transcripts: the passages where Apache Spark comes up
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 6:52 Matt Turck This Spark, this data flow, and, you know, maybe MapReduce is not what people need, and all of this is evolving. 2 times in the scene
- ▶ 9:44 Mike Olson Um, everybody is super hot on Spark. 2 times in the scene
- ▶ 15:28 Mike Olson Those guys knew from the very earliest days that there would be other engines, a la HBase, and Spark, and Impala, and Friends that would run on that framework. 2 times in the scene
Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014
- ▶ 15:23 Catherine Williams Because we have continued to evolve, um, with machine learning, we're able to, or interested in doing things now with in-memory systems like Spark.
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 1:34 Tobi Knaup You're, you're using a couple different tools like Hadoop and Spark and, and whatever.
- ▶ 5:32 Tobi Knaup And, ah, we call those native Mesos apps, and, and examples for those are a lot of the big data tools that you're probably familiar with, like Spark, and Storm, and Hadoop, and so on. 2 times in the scene
- ▶ 6:43 Tobi Knaup So, if you have competing applications, you know, like Hadoop and Spark, they all want resources. 2 times in the scene
- ▶ 20:47 Tobi Knaup Hence, you already have a concept of nodes in, in Storm or in Spark and whatever, so you're already, you're still thinking about virtual servers in some sense.
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