Apache Kafka, every mention

8 scenes (2016) · ← back to Apache Kafka

tap a year for its mentions
00254508201420152016201720182019202020212022202320242025episodesmentions
048201420152016201720182019202020212022202320242025episodes it came up in
00134258201420152016201720182019202020212022202320242025episodesmentions per episode

every year 2016 anyone Matt Turck 35Neha Narkhede 32Jon Hyman 10Ben Johnson 5Ajay Kulkarni 5Aaron Katz 5DeVaris Brown 4Zach Sherman 3Sridhar Ramaswamy 3Nick Rockwell 3

Verbatim, from the transcripts: the passages where Apache Kafka comes up

loading…

The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark) Sep 30, 2016 · 2 mentions

  • ▶ 10:21 Praveen Murugesan Kafka was, in general, like, a nice way where people used to pipe the results of, like, their Spark jobs. 2 times in the scene

A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven] Jun 16, 2016 · 40 mentions

  • ▶ 0:11 Neha Narkhede Um, two years ago, um, I, along with other creators of Apache Kafka, we created Confluent. 3 times in the scene
  • ▶ 1:26 Neha Narkhede I'm going to start by talking about the motivation behind streaming data, talk about Apache Kafka for the minority of you who haven't heard about it, and then go about explaining how Kafka can become a streaming platform which operates at…
  • ▶ 7:38 Neha Narkhede The first step is really Apache Kafka. 14 times in the scene
  • ▶ 10:38 Neha Narkhede Uh, any infrastructure is only as useful as data that it has, and so, uh, the first step of adopting Kafka is really thinking about how to make it useful. 5 times in the scene
  • ▶ 14:53 Neha Narkhede Um, Kafka Streams is really the, the layer in Kafka that allows you to do stream processing. 3 times in the scene
  • ▶ 15:37 Neha Narkhede So, you know, this is the reality of, um, Kafka as a streaming platform at LinkedIn. 6 times in the scene
  • ▶ 17:46 Matt Turck Are you the services version for Kafka? 8 times in the scene
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.