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

Schedule: Enterprise adoption sessions

9:00–17:00 Wednesday, 1/06/2016
Location: Capital Suite 10/11 Level: Intermediate
Jayesh Seshadri (Cloudera), Justin Hancock (Cloudera), Mark Samson (Cloudera), Wellington Chevreuil (Cloudera )
Average rating: *****
(5.00, 4 ratings)
Jayesh Seshadri, Justin Hancock, Mark Samson, and Wellington Chevreuil offer a full-day deep dive into all phases of successfully managing Hadoop clusters—from installation to configuration management, service monitoring, troubleshooting, and support integration—with an emphasis on production systems. Read more.
13:30–17:00 Wednesday, 1/06/2016
Location: Capital Suite 12 Level: Intermediate
John Akred (Silicon Valley Data Science), Stephen O'Sullivan (Data Whisperers)
Average rating: ***..
(3.39, 18 ratings)
What are the essential components of a data platform? John Akred and Stephen O'Sullivan explain how the various parts of the Hadoop and big data ecosystems fit together in production to create a data platform supporting batch, interactive, and real-time analytical workloads. Read more.
14:05–14:45 Thursday, 2/06/2016
Location: Capital Suite 14 Level: Intermediate
Moderated by:
Surya Mukherjee (Ovum)
Panelists:
Lloyd Tabb (Looker Data Science), Nick Amabile (FullStack Analytics), Rex Gibson (Knewton), dp Suresh (Yahoo!)
Average rating: ***..
(3.17, 6 ratings)
Hear why big SQL is the future of analytics. Experts at Yahoo, Knewton, FullStack Analytics, and Looker discuss their respective data architectures, the trials and tribulations of running analytics in-cluster, and examples of the real business value gained from putting their data in the hands of employees across their companies. Read more.
16:35–17:15 Thursday, 2/06/2016
Location: Capital Suite 15/16 Level: Intermediate
Jennifer Wu (Cloudera)
Average rating: ***..
(3.00, 9 ratings)
Jennifer Wu outlines concepts for successfully running Hadoop in the cloud, provides guidance on selecting cloud storage, covers real-world examples of Hadoop deployment patterns in public clouds, and demos Cloudera Director provisioning on AWS. Read more.
17:25–18:05 Thursday, 2/06/2016
Location: London Suite 3 Level: Non-technical
Assaf Araki (Intel), Itay Yogev (Intel)
Average rating: ****.
(4.80, 5 ratings)
Big data analytics brings value to enterprises, helping them achieve operational excellence. The big question is how you implement it. Drawing on firsthand experience, Assaf Araki and Itay Yogev share how Intel built a big data analytics competency center, exploring the key elements that help Intel grow its people and capabilities and the challenges and lessons learned. Read more.
16:35–17:15 Friday, 3/06/2016
Location: Capital Suite 2/3 Level: Non-technical
Tomer Shiran (Dremio)
Average rating: ****.
(4.71, 7 ratings)
There are (too?) many options for BI on Hadoop. Some are great at exploration, some are great at OLAP, some are fast, and some are flexible. Understanding the options and how they work with Hadoop systems is a key challenge for many organizations. Tomer Shiran provides a survey of the main options, both traditional (Tableau, Qlik, etc.) and new (Platfora, Datameer, etc.). Read more.