Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Thomas Phelan

Thomas Phelan
BlueData CTO/HPE Fellow, HPE BlueData

Website | @tapbluedata

Thomas Phelan is cofounder and chief architect of BlueData. Previously, a member of the original team at Silicon Graphics that designed and implemented XFS, the first commercially availably 64-bit file system; and an early employee at VMware, a senior staff engineer and a key member of the ESX storage architecture team where he designed and developed the ESX storage I/O load-balancing subsystem and modular pluggable storage architecture as well as led teams working on many key storage initiatives such as the cloud storage gateway and vFlash.

Sessions

16:35–17:15 Wednesday, 23 May 2018
How to protect big data in a containerized environment
Data engineering and architecture, Platform security and cybersecurity
 Location: Capital Suite 7 Level: Non-technical
Secondary topics:  Security and Privacy
Thomas Phelan (HPE BlueData)
Recent headline-grabbing data breaches demonstrate that protecting data is essential for every enterprise. The best-of-breed approach for big data is HDFS configured with Transparent Data Encryption (TDE), but TDE can be difficult to configure and manage—issues that are only compounded when running on Docker containers. Thomas Phelan discusses these challenges and explains how to overcome them. Read more.
12:05–12:45 Thursday, 24 May 2018
Deep learning with TensorFlow and Spark using GPUs and Docker containers
Big data and data science in the cloud, Data engineering and architecture
 Location: Capital Suite 7 Level: Beginner
Secondary topics:  Managing and Deploying Machine Learning
Nanda Vijaydev (BlueData), Thomas Phelan (HPE BlueData)
Average rating: ****.
(4.17, 6 ratings)
In the past, you needed a high-end proprietary stack for advanced machine learning, but today, you can use open source machine learning and deep learning algorithms available with distributed computing technologies like Apache Spark and GPUs. Nanda Vijaydev and Thomas Phelan demonstrate how to deploy a TensorFlow and Spark with NVIDIA CUDA stack on Docker containers in a multitenant environment. Read more.