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September 25, 2019 | Episode 57

Scaling Apache Kafka with Todd Palino

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Todd Palino, a senior SRE at LinkedIn, talks about the start of Apache Kafka® at LinkedIn, what learning to use Kafka was like, how Kafka has changed, and what he and others in the community hope for in the future of Kafka. If you’re curious about life as an SRE, Todd shares the details on that too, and goes into how Kafka is used at LinkedIn, as well as several wins and challenges over the years with the product. 

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Episode 58October 2, 2019 | 43 min

MySQL, Cassandra, BigQuery, and Streaming Analytics with Joy Gao

Joy Gao chats with Tim Berglund about all things related to streaming ETL—how it works, its benefits, and the implementation and operational challenges involved. She describes the streaming ETL architecture at WePay from MySQL/Cassandra to BigQuery using Apache Kafka®, Kafka Connect, and Debezium.

Episode 59October 7, 2019 | 40 min

Data Modeling for Apache Kafka – Streams, Topics & More with Dani Traphagen

When it comes to data modeling, Dani Traphagen covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.

Episode 60October 9, 2019 | 48 min

Improving Fairness Through Connection Throttling in the Cloud with KIP-402 ft. Gwen Shapira

Gwen Shapira outlines KIP-402, which aims to improve fairness in how Apache Kafka® processes connections and how network threads pick up requests and new data. She also shares about her team’s efforts to make user-facing Kafka improvements.

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