Any nontrivial streaming app requires that you consider a number of important topics, but questions like how to manage offsets or state often go unanswered. Mark Grover and Ted Malaska share practices that no one talks about when you start writing a streaming app but that you’ll inevitably need to learn along the way.
Mark Grover is a software engineer working on Apache Spark at Cloudera. Mark is a committer on Apache Bigtop, a committer and PPMC member on Apache Spot (incubating) and a committer and PMC member on Apache Sentry and has contributed to a number of open source projects including Apache Hadoop, Apache Hive, Apache Sqoop, and Apache Flume. He is a coauthor of Hadoop Application Architectures and also wrote a section in Programming Hive. Mark is a sought-after speaker on topics related to big data at various national and international conference. He occasionally blogs on topics related to technology.
Ted Malaska is a group technical architect on the Battle.net team at Blizzard, helping support great titles like World of Warcraft, Overwatch, and HearthStone. Previously, Ted was a principal solutions architect at Cloudera helping clients find success with the Hadoop ecosystem and a lead architect at the Financial Industry Regulatory Authority (FINRA). He has also contributed code to Apache Flume, Apache Avro, Apache Yarn, Apache HDFS, Apache Spark, Apache Sqoop, and many more. Ted is a coauthor of Hadoop Application Architectures, a frequent speaker at many conferences, and a frequent blogger on data architectures.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2017, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com