Mark Grover, Ted Malaska, and Jonathan Seidman, the authors of Hadoop Application Architectures, share considerations and recommendations for the architecture and design of applications using Hadoop. Come with questions about your use case and its big data architecture or just listen in on the conversation.
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.
Jonathan Seidman is a software engineer on the Partner Engineering team at Cloudera. Previously, he was a lead engineer on the Big Data team at Orbitz Worldwide, helping to build out the Hadoop clusters supporting the data storage and analysis needs of one of the most heavily trafficked sites on the internet. Jonathan is a cofounder of the Chicago Hadoop User Group and the Chicago Big Data meetup and a frequent speaker on Hadoop and big data at industry conferences such as Hadoop World, Strata, and OSCON. Jonathan is the coauthor of Hadoop Application Architectures from O’Reilly.
Ted Malaska is a senior solution architect at Blizzard. Previously, he was a principal solutions architect at Cloudera. Ted has 18 years of professional experience working for startups, the US government, some of the world’s largest banks, commercial firms, bio firms, retail firms, hardware appliance firms, and the largest nonprofit financial regulator in the US and has worked on close to one hundred clusters for over two dozen clients with over hundreds of use cases. He has architecture experience across topics including Hadoop, Web 2.0, mobile, SOA (ESB, BPM), and big data. Ted is a regular contributor to the Hadoop, HBase, and Spark projects, a regular committer to Flume, Avro, Pig, and YARN, and the coauthor of Hadoop Application Architectures.
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