Date: 14th November 2018
Location: 58VE, 58 Victoria Embankment, London, EC4Y 0DS
Type: Breakfast Briefing

PURE STORAGE
BREAKFAST BRIEFING

LONDON  |  08:30-10:00


Register

Accelerating the Data Analytics Pipeline

Join us on Wednesday, November 14th to learn how Pure has built a scalable Data Analytics Pipeline using open-source technologies like Spark, Kafka, Rsyslog, Elastic and Tensorflow, why the efficiency, scale and flexibility of this Data Analytics Pipeline is critical to Pure's success and how this and similar requirements ultimately led to the development of a new breed of storage system.

Whether your use case is modernising legacy ETL processes, automating triage of test failures in software development, incorporating new data sources, such as product usage or customer touch points, to make more granular decisions, or aggregating data for training of ML models, Joshua Robinson will guide you through the lessons we learnt along the way and provide the blueprint of our success.


What you can learn:

  • How and why Pure built a scalable Data Analytics Pipeline
  • Why Hadoop is no longer the only answer
  • What the Data Science team really needs from IT
    • Why a data silo approach to Data Warehouse, Data Lake, Streaming Analytics and Deep Learning will never be successful

Logistics


November 14th 2018
08:30am - 10:00am
Location - 58VE, 58 Victoria Embankment, London, EC4Y 0DS

This is an invitation only technical event with limited places. Secure your space now by registering now.

Speaker Bio:

Joshua Robinson, Founding Engineer & Data Analytics Lead, Pure Storage

Joshua Robinson is a Founding Engineer on the FlashBlade team and is currently leading the development of advanced analytics and AI architectures. He spent 3.5 years on the core development team architecting and building the FlashBlade from the ground-up. Prior to Pure, Joshua worked as a data scientist in the search infrastructure team at Google, building and running data pipelines and machine-learning algorithms for indexing the Internet. Joshua graduated with a PhD in Electrical and Computer Engineering from Rice University in 2009 with a focus on machine learning and algorithms.