Join Neha for a deeper dive into Apache Kafka use cases, using Kafka for stream processing, comparing Kafka Streams’s lightweight library approach with heavier, framework-based tools such as Spark Streaming or Storm, and how Kafka Connect can be combined with other tools such as stream processing frameworks to create a complete streaming data integration solution.
Neha Narkhede is the cofounder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s petabyte-scale streaming infrastructure built on top of Apache Kafka and Apache Samza. Neha specializes in building and scaling large distributed systems and is one of the initial authors of Apache Kafka. A distributed systems engineer by training, Neha works with data scientists, analysts, and business professionals to move the needle on results.
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