Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Stream Processing Everywhere — What to Use?

Jim Scott (MapR Technologies)
11:30am–12:10pm Thursday, 02/19/2015
Hadoop & Beyond
Location: 230 C
Average rating: ****.
(4.50, 6 ratings)
Slides:   1-PDF 

Processing data from social media streams and sensors devices in real-time is becoming increasingly prevalent and there are plenty open source solutions to choose from. To help practitioners decide what to use when we compare three popular Apache projects allowing to do stream processing: Apache Storm, Apache Spark and Apache Samza.

Photo of Jim Scott

Jim Scott

MapR Technologies

Jim Scott is the director of enterprise strategy and architecture at MapR Technologies. He is passionate about building combined big data and blockchain solutions. Over his career, Jim has held positions running operations, engineering, architecture, and QA teams in the financial services, regulatory, digital advertising, IoT, manufacturing, healthcare, chemicals, and geographical management systems industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow Chemical was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG).

Comments on this page are now closed.

Comments

Picture of Jim Scott
Jim Scott
02/24/2015 2:12am PST

Hi Laura,

There were just posted minutes ago.

Jim

Laura Llewellyn
02/23/2015 11:09pm PST

Will the slides be posted soon?