Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Kai Voigt

Kai Voigt
Senior Instructor, Cloudera

Website | @kaivoigt

Kai Voigt is a senior instructor for Hadoop classes at Cloudera, delivering training classes for developers and administrators worldwide. Kai held the same role at MySQL, Sun, and Oracle. He has spoken at a number of O’Reilly conferences.

Sessions

9:00–17:00 Tuesday, 31/05/2016 - Wednesday, 01/06/2016
SOLD OUT
Training
Location: Capital Suite 7
Kai Voigt (Cloudera)
Average rating: ***..
(3.25, 4 ratings)
Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities. Through in-class simulations and exercises, Kai Voigt walks attendees through applying data science methods to real-world challenges in different industries, offering preparation for data scientist roles in the field. Read more.
9:00–17:00 Wednesday, 1/06/2016
SOLD OUT
Training
Location: Capital Suite 7
Kai Voigt (Cloudera)
Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities. Through in-class simulations and exercises, Kai Voigt walks attendees through applying data science methods to real-world challenges in different industries, offering preparation for data scientist roles in the field. Read more.
14:05–14:45 Friday, 3/06/2016
Spark & beyond
Location: Capital Suite 13 Level: Intermediate
Ted Malaska (Capital One), Kai Voigt (Cloudera)
Average rating: ***..
(3.43, 7 ratings)
Ted Malaska leads an introduction to basic Spark concepts such as DAGs, RDDs, transformations, actions, and executors, designed for Java and Scala developers. You'll learn how your mindset must evolve beyond Java or Scala code that runs in a single JVM as you explore JVM locality, memory utilization, network/CPU usage, optimization of DAGs pipelines, and serialization conservation. Read more.