Apache Hadoop 3. x - a Giant Leap for Big Data - DataWorks Summit Berlin edition

HUD Vienna meetup group is live from Berlin in a one-off DataWorks Summit special, featuring talks on Apache Hadoop 3.x with deep dives on Erasure Coding, Containerized workloads, GPU/FPGA & TensorFlow support among others.

LOCATION
Room Paris @ Estrel Hotel Congress Center, Berlin, Germany

INTRO
Apache Hadoop 3.x ushers in major architectural advances such as Erasure Coding in HDFS, Containerized Workload Flexibility, GPU/FPGA Resource Pooling and a litany of other advanced features (Anti-affinity/affinity, Multiple standby name nodes).

The talk will walk the audience through real world use cases and deployment models, followed by technology deep dives of the building blocks.

SPEAKERS
Saumitra - Introduce the Apache 3.x innovation (Erasure Coding, Containerized Workload Support, GPU/FPGA resource pooling) and the real world use cases and deployment models

Wangda - Deep dive into various features such as GPU Pooling, Containerized Micro-services such TensorFlow for use cases such as self-driving cars.

PROGRAM
6:00 pm Registration, Food & Drinks
6:20 pm Intro
6:30 pm Speaker: Saumitra
7:00 pm Speaker: Wangda
7:30 pm Announcements
7:40 pm Q/A
7:50 pm Mingle & Networking

SPEAKER BIOs
Saumitra Buragohain
Sr. Director, Product Management, Hadoop Core, Data Science and Data Management, Hortonworks, 2016-Present