Kafka - The Definitive Guide: Real-time data and stream processing at scale - Tapa blanda

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Neha Narkhede is Cofounder and Head of Engineering 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. In the past she has worked on search within the database at Oracle and holds a Masters in Computer Science from Georgia Tech.Gwen is a Software Engineer at Cloudera, working on data ingest and focusing on Apache Kafka. She is a frequent contributor to the Apache Kafka project, she has contributed Kafka integration to Apache Flume, and is a committer on Apache Sqoop.Gwen has 15 years of experience working with customers to design scalable data architectures.Formerly a solution architect at Cloudera, senior consultant at Pythian, Oracle ACE Director, and board member at NoCOUG. Gwen is a frequent speaker at industry conferences andcontributes to multiple industry blogs including O Reilly Radar and Ingest.Tips.Todd is a Staff Site Reliability Engineer at LinkedIn, tasked with keeping the largest deployment of Apache Kafka, Zookeeper, and Samza fed and watered. He is responsible for architecture, day-to-day operations, and tools development, including the creation of an advanced monitoring and notification system. Todd is the developer of the open source project Burrow, a Kafka consumer monitoring tool, and can be found sharing his experience on Apache Kafka at industry conferences and tech talks. Todd has spent over 20 years in the technology industryrunning infrastructure services, most recently as a Systems Engineer at Verisign, developing service management automation for DNS, networking, and hardware management, as well as managing hardware and software standards across the company."