Kafka, every mention
12 scenes, the whole family · ← back to Kafka
tap a year for its mentions
every year anyone Jon Hyman 12Neha Narkhede 10Zach Sherman 1Julien Le Dem 1
Verbatim, from the transcripts: the passages where Kafka comes up
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 13:10 Julien Le Dem A Kafka protocol or saving it in a graph database.
A New Kind of Logging System // Zach Sherman & Ben Johnson, Timber (FirstMark's Data Driven NYC)
- ▶ 8:06 Zach Sherman Um, and Kafka Connect kind of gives you all of the primitives that you need to build really sophisticated data pipelines.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 6:17 Jon Hyman So the way that we built this is on top of Kafka Streams and Kafka Connect. 5 times in the scene
- ▶ 6:17 Jon Hyman So the way that we built this is on top of Kafka Streams and Kafka Connect. 5 times in the scene
- ▶ 12:00 Jon Hyman We have our application that is logging data at different decision points over to Kafka, and then we use Kafka Connect in order to just zip that right over to Elasticsearch. 2 times in the scene
A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
- ▶ 0:40 Neha Narkhede Um, today's talk is about, you know, building a real-time streaming platform using Kafka Connect and Streams.
- ▶ 0:40 Neha Narkhede Um, today's talk is about, you know, building a real-time streaming platform using Kafka Connect and Streams.
- ▶ 10:55 Neha Narkhede And so, the answer there is, uh, Kafka Connect. 4 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. 2 times in the scene
- ▶ 15:31 Neha Narkhede Connect is, ah, allows you to get data in.
- ▶ 16:26 Neha Narkhede It's based on Connect.
- ▶ 22:17 unnamed speaker Um, so, Kafka Streaming is, ah, basically a library, and then you provide your platform, which runs Kafka with Kafka Streaming, and by doing that you, you're multiplying clusters for any customer, basically, because the customer needs,… 4 times in the scene