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

Topics

Capital Suite 16
Add Apache Cassandra: Get trained and get better paid to your personal schedule
9:00 Apache Cassandra: Get trained and get better paid Tim Berglund (Confluent), Tanya Gallagher (DataStax)
Capital Suite 17
Capital Suite 7
8:00 - 9:00 Coffee Break | 10:30 - 11:00 Morning break | Room: Capital Suite Foyer
12:30 - 13:30 Lunch | 15:00 - 15:30 Afternoon break | Room: Training lunch
9:00-17:00 (8h) Training
Apache Cassandra: Get trained and get better paid
Tim Berglund (Confluent), Tanya Gallagher (DataStax)
O’Reilly Media and DataStax have partnered to create a 2-day developer course for Apache Cassandra. Get trained as a Cassandra developer at Strata + Hadoop World in London, be recognized for your NoSQL expertise, and benefit from the skyrocketing demand for Cassandra developers.
9:00-17:00 (8h) Training
Spark foundations: Prototyping Spark use cases on Wikipedia datasets
Stephane Rion (Big Data Partnership)
The real power and value proposition of Apache Spark is in building a unified use case that combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. Stephane Rion employs hands-on exercises using explore various Wikipedia datasets to illustrate the variety of ideal programming paradigms Spark makes possible.
9:00-17:00 (8h) Training
Data science at scale: Using Spark and Hadoop
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.
8:00-9:00 (1h)
Break: - 9:00 Coffee Break | 10:30 - 11:00 Morning break
12:30-13:30 (1h)
Break: - 13:30 Lunch | 15:00 - 15:30 Afternoon break