Apache Kafka, every mention
8 scenes (2019) · ← back to Apache Kafka
tap a year for its mentions
every year 2019 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
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 27:39 Mike Volpi Uh, um, uh, Jay Kreps, who started Confluent and was the original author of Kafka, he wrote Kafka to produce the LinkedIn feed. 2 times in the scene
Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)
- ▶ 1:12 FJ Yang And, ah, how many people have worked with what kind of different types of big data technologies like Hadoop, Spark, and Kafka, and others?
- ▶ 9:36 FJ Yang Uh, so if you're familiar with different types of data technologies, uh, an example of a stream hub might be something like Apache Kafka.
- ▶ 11:27 FJ Yang Uh, oftentimes it's in a stream, so it might be coming from Kafka, it might be coming from a stream processor.
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 28:05 Solmaz Shahalizadeh We run them in shadow mode, which means, like, they do all the evaluation, but the results are logged to Kafka, and we see if the time to response, if the sort of distribution of predictions are different or not.
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 2:55 Justin Borgman Um, this is, uh, maybe a little hard for some of you guys to see, uh, but it shows at the top, uh, a variety of popular BI tools that you can connect to using ODBC or JDBC drivers, and on the bottom, a variety of data sources, and you'll…
- ▶ 11:02 Justin Borgman Um, you might be looking at, you know, a whole host of other data sources, like Kafka, or MongoDB, or some new technology X.
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 16:55 Nick Rockwell Um, we did a big Kafka implementation as well, which just runs our main publishing pipeline, so all content flows through Kafka on its way to the front end. 3 times in the scene