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
Cofounder and Chief Architect, BlueData

Website | @tapbluedata

Thomas Phelan is cofounder and chief architect of BlueData. Previously, Tom was an early employee at VMware; as senior staff engineer, he was a key member of the ESX storage architecture team. During his 10-year stint at VMware, he designed and developed the ESX storage I/O load-balancing subsystem and modular pluggable storage architecture. He went on to lead teams working on many key storage initiatives, such as the cloud storage gateway and vFlash. Earlier, Tom was a member of the original team at Silicon Graphics that designed and implemented XFS, the first commercially available 64-bit filesystem.


16:3517:15 Wednesday, 23 May 2018
Data engineering and architecture, Platform security and cybersecurity
Location: Capital Suite 7 Level: Non-technical
Secondary topics:  Security and Privacy
Thomas Phelan (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.
12:0512:45 Thursday, 24 May 2018
Secondary topics:  Managing and Deploying Machine Learning
Nanda Vijaydev (BlueData), Thomas Phelan (BlueData)
Average rating: ***..
(3.50, 2 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.