Register for Kafka Summit SF 2019: [ Ссылка ] | Gwen Shapira (Core Kafka Software Engineer, Confluent) sits down to answer the questions you've had about event streaming, Apache Kafka®, Confluent, and everything in between. This includes creating tables in nested JSON topics, how to balance ordering, latency and reliability, building event-based systems, and how to navigate the tricky endOffsets API. She talks about the hardships of fencing zombie requests, some of the talks given at previous Kafka Summits, and an important question from Ask Confluent #3.
EPISODE LINKS
KIP-91: Provide Intuitive User Timeouts in The Producer: [ Ссылка ]
KIP-79: ListOffsetRequest/ListOffsetResponse v1 and add timestamp search methods to the new consumer: [ Ссылка ]
KSQL recipe on creating tables in a nested JSON topic: [ Ссылка ]
Data Wrangling with Apache Kafka and KSQL: [ Ссылка ]
Struct (Nested Data) | Level Up Your KSQL: [ Ссылка ]
Kafka Summit 2018 Keynote (Experimentation Using Event-Based Systems): [ Ссылка ]
Apache Kafka 2.3: [ Ссылка ]
endOffsets documentation: [ Ссылка ]
Jun Rao, Confluent - Kafka Controller: A Deep Dive: [ Ссылка ]
Confluent Platform 5.3: [ Ссылка ]
Kafka Summit 2017 Keynote (Go Against the Flow: Databases and Stream Processing): [ Ссылка ]
The Event Streaming Platform Explained: [ Ссылка ]
Join the Confluent Community Slack: [ Ссылка ]
Podcast: [ Ссылка ]
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 [ Ссылка ]
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