Mark Grover is a Product Manager at Lyft. 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.
Webcast: Best practices for streaming applications June 21, 2016
Mark Grover and Ted Malaska offer an overview of projects that can be used for streaming applications, including Kafka, Flume, and Spark Streaming, and discuss the various architectural schemas available, such as Lambda and Kappa Architectures.