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Jay Kreps, Confluent | Kafka Summit SF 2019 Keynote ft. Dev Tagare, Lyft

Confluent, an IBM Company

96K subscribers • 3 videos on Hallway

YouTube
  • Recommended by 1 person: 1 in engineering communities.
  • Presented by Jay Kreps, Co-Founder of Confluent
  • Made by the vendor. The company whose product it covers made or sponsored it.
  • May be out of date. The tools, versions or practices it shows have likely moved on.

Intermediate. Assumes working knowledge.

20K views7 years ago1 recommendation

Distributed systemsDatabases and dataKafka and stream processingScaling and large-scale architectureEvent-driven systems and messaging

Jay Kreps discusses modern stream processing, real-time databases, and serverless Kafka, featuring a Q&A with Lyft's Devendra Tagare.

Jay Kreps, Confluent Co-Founder and Co-Creator of Apache Kafka, delivers the keynote presentation at Kafka Summit San Francisco 2019. He explains modern stream processing, real-time databases, KSQL, and Confluent Cloud's newest offering – a fully managed, serverless Kafka. In an effort to bring stream processing to a broader audience, Priya Shivakumar also announces Kafka made serverless in Confluent Cloud, with $50 free for the first three months. Recording includes a Q&A session between Jay Kreps and Devendra Tagare, Engineering Manager at Lyft. They discuss the enhanced features Confluent Cloud offers on top of typical Kafka use cases – from mission critical reliability, scaling billions of messages at under 50ms latency, to multicloud data streaming and 24/7 Kafka support. ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit confluent.io #kafkasummit #confluent #apachekafka

Why it's here

1 person recommends this

What people say. Recommended for its insights into the shift from static databases to dynamic, event-driven data streaming.

u/kakipipi23in r/Database • Recommends

On “How do you think databases and their programming languages are going to evolve in the next 20 years?”

I think that the main difference in the world's approach to data is moving from static to dynamic data. Meaning that, for example, if 10 years ago you looked up in your database to see how many cats you have that are older than 5, now you care about the avarge age of your cats at any time. This is called "event driven". I think that this podcast can open your view on that topic: link to this video (Didn't write down any direct answer, sorry for that)