Welcome to the latest episode of Streaming Cafe with your host, Jove!

In this exciting interview, Jove is joined by a special guest, Yarosalv, Principal Software Engineer at Goldsky, to delve into the realm of data streaming, engineering challenges, and real-world experiences.

Timestamps:

00:00:00 Welcome Yarosalv00:01:40 Yaroslav self-intro, Activision, Shopify, Goldsky

00:04:00 Yaroslav talk on Current23 and other talks he recommends00:14:20 Jove’s talk on Current23

00:16:00 Yaroslav blog00:18:40 Blog writing on Friday00:21:00 data streaming, streaming ETL

00:29:00 streaming vs batch, OLAP, CBO, JOIN, new challenges

00:36:00 data democratization, real-time insights for everyone, not just executives

00:36:55 data app vs data product00:39:10 next-gen AI is coming a data problem, Tesla e2e FSD v12

00:41:00 blockchain is a distributed app platform, late events in web3

00:50:00 tech community in Vancouver00:56:40 VLDB, Feldera, Materialize

01:00:17 data streaming in depth is not easy. How about streaming databases

Yaroslav's talk on Current23 and other talks he recommends

* Dynamic Change Data Capture with Flink CDC and Consistent HashingKeynote

* Restate: Stream Processing, but for Microservices

* Isolating Streaming Ingest and Queries Using RocksDB (Rockset)

* Deeply Declarative Data Pipelines (LinkedIn, Ryanne Dolan)

* Off-Label Data Mesh: A Prescription for Healthier Data (Confluent, Adam Bellemare)

* Learnings of Running Kafka Tiered Storage at Scale (Uber)

* Evolution of Streaming Pipeline at Lyft (Lyft)* Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable (Confluent)

* Query Your Streaming Data on Kafka using SQL: Why, How, and What (Timeplus)