Use the promo code LIVESTREAMS200 to receive an additional $200 of free Confluent Cloud usage: https://www.confluent.io/confluent-cloud?utm_source=youtube&utm_medium=livestream&utm_campaign=tm.devx_ch.ls-livestreams200_content.vg
TIMESTAMPS
0:00 - Stream starts
2:09 - Cold opening
2:35 - Intro
10:04 - Question: How do you produce a single message using Spring Cloud Stream?
15:00 - Question: How do you enrich a stream of objects that contains many subobjects?
17:20 - Current topic: Spring Cloud Stream and Kafka Streams
23:10 - Question: How do you verify if a message already exists in an Apache Kafka® topic?
27:45 - About Kafka headers in SCS
35:26 - Function of the Kafka Streams topology
50:10 - Configure the Kafka Streams binder
51:22 - Question: What is the difference between this way (functions) and using @StreamListener, which seems to be more declarative?
57:38 - Expose a materialized view via REST using interactive queries
1:07:38 - It's a wrap!
CONNECT
Subscribe: https://youtube.com/c/confluent?sub_confirmation=1
Site: https://confluent.io
GitHub: https://github.com/confluentinc
Facebook: https://facebook.com/confluentinc
Twitter: https://twitter.com/confluentinc
LinkedIn: https://www.linkedin.com/company/confluent
Instagram: https://www.instagram.com/confluent_inc
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 https://confluent.io
#confluent #apachekafka #streamprocessing
TIMESTAMPS
0:00 - Stream starts
2:09 - Cold opening
2:35 - Intro
10:04 - Question: How do you produce a single message using Spring Cloud Stream?
15:00 - Question: How do you enrich a stream of objects that contains many subobjects?
17:20 - Current topic: Spring Cloud Stream and Kafka Streams
23:10 - Question: How do you verify if a message already exists in an Apache Kafka® topic?
27:45 - About Kafka headers in SCS
35:26 - Function of the Kafka Streams topology
50:10 - Configure the Kafka Streams binder
51:22 - Question: What is the difference between this way (functions) and using @StreamListener, which seems to be more declarative?
57:38 - Expose a materialized view via REST using interactive queries
1:07:38 - It's a wrap!
CONNECT
Subscribe: https://youtube.com/c/confluent?sub_confirmation=1
Site: https://confluent.io
GitHub: https://github.com/confluentinc
Facebook: https://facebook.com/confluentinc
Twitter: https://twitter.com/confluentinc
LinkedIn: https://www.linkedin.com/company/confluent
Instagram: https://www.instagram.com/confluent_inc
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 https://confluent.io
#confluent #apachekafka #streamprocessing
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