Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Architectural patterns for streaming applications

Ted Malaska (Blizzard Entertainment), Mark Grover (Lyft)
4:00pm–4:40pm Wednesday, 12/02/2015
Hadoop & Beyond
Location: 328-329 Level: Intermediate
Average rating: ***..
(3.71, 7 ratings)

Prerequisite Knowledge

Basic knowledge of Hadoop ecosystem.

Description

  • We will discuss various projects available as options e.g. Kafka, Flume, Spark Streaming, etc.
  • We will discuss various architectural schemas available e.g. Lambda, Kappa architecture, etc.
  • We will then compare and contrast each of these options along the above dimensions and provide recommendations based on some use cases.
Photo of Ted Malaska

Ted Malaska

Blizzard Entertainment

Ted has worked on close to 60 Clusters over 2-3 dozen clients with over 100’s of use cases. He has 18 years of professional experience working for start-ups, the US government, a number of the worlds largest banks, commercial firms, bio firms, retail firms, hardware appliance firms, and the US’s largest non-profit financial regulator. He has architecture experience across topic such as Hadoop, Web 2.0, Mobile, SOA (ESB, BPM), and Big Data. Ted is a regular committer to Flume, Avro, Pig and YARN.

Photo of Mark Grover

Mark Grover

Lyft

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. He has also 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 wrote a section in Programming Hive. Mark is a sought-after speaker on topics related to big data. He occasionally blogs on topics related to technology.