Apache Flink, every mention
8 scenes across 1 show · ← back to Apache Flink
tap a year for its mentions
the MAD Podcast 14
every year every show the MAD Podcast 14
Verbatim, from the transcripts: passages where Apache Flink comes up on the MAD Podcast
Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
- ▶ 7:20 DeVaris Brown Or, uh, you can stand up like one of these like Flink or Druid clusters or Apache Beam, and essentially you, you, you hook it up to a, uh, your database, you know, you run some jobs in between to slice and dice it, uh, and then all of a…
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 18:05 Dave Burgess So we, we basically, first of all, bring the data through Kafka and then we use Flink for, for streaming. 4 times in the scene
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 20:43 Alok Gupta We're using some, uh, technologies like Flint for one of some of our real time, uh, feature aggregation, data aggregation, but mostly it's homegrown.
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 13:25 Mike Tuchen When Flint comes along, take advantage of that.
A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark)
- ▶ 5:52 Haoyuan Li You have Spark, you have MapReduce, you have Flink, you have HBase, Presto.
A Fireside Chat with MapR CTO M.C. Srivas (Data Driven NYC / FirstMark)
- ▶ 26:22 M.C. Srivas Maybe it's Hadoop, maybe it's, uh, Flink. 2 times in the scene
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 10:35 Stefan Groschupf And what's really interesting is Flink is already faster than Spark. 3 times in the scene
- ▶ 13:04 Stefan Groschupf So I think really there's a, there's a disruptive force here that a lot of people are not yet talking about as they're so busy talking about Spark and Flink and all that really, really fancy, 20%, maybe 50, maybe hundred percent…