Streaming platforms have emerged as a popular, new trend, but what exactly is a streaming platform? Part messaging system, part Hadoop made fast, part fast ETL and scalable data integration, with Apache Kafka at the core, streaming platforms offer an entirely new perspective on managing the flow of data. Neha Narkhede shares examples of Kafka in action and explains why streaming platforms have become the central nervous system for modern digital businesses.
Neha Narkhede is the cofounder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Previously, 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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