Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
John Akred

John Akred
CTO, Silicon Valley Data Science

Website | @BigDataAnalysis

With over 15 years in advanced analytical applications and architecture, John Akred is dedicated to helping organizations become more data driven. As CTO of Silicon Valley Data Science, John combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.

Sessions

9:00am12:30pm Tuesday, September 26, 2017
Data Engineering & Architecture, Spark & beyond
Location: 1E 12/13 Level: Intermediate
Secondary topics:  Architecture
John Akred (Silicon Valley Data Science), Stephen O'Sullivan (Silicon Valley Data Science)
Average rating: ***..
(3.27, 11 ratings)
What are the essential components of a data platform? John Akred and Stephen O'Sullivan explain how the various parts of the Hadoop, Spark, and big data ecosystems fit together in production to create a data platform supporting batch, interactive, and real-time analytical workloads. Read more.
1:30pm5:00pm Tuesday, September 26, 2017
Data-driven business management, Strata Business Summit
Location: 1E 11 Level: Intermediate
John Akred (Silicon Valley Data Science), Heather Nelson (Silicon Valley Data Science)
Average rating: ****.
(4.50, 2 ratings)
John Akred and Heather Nelson share methods and observations from three years of effectively deploying data science in enterprise organizations. You'll learn how to build, run, and get the most value from data science teams and how to work with and plan for the needs of the business. Read more.
2:55pm3:35pm Thursday, September 28, 2017
Location: 1E 14
John Akred (Silicon Valley Data Science), Stephen O'Sullivan (Silicon Valley Data Science), Heather Nelson (Silicon Valley Data Science)
John Akred, Stephen O'Sullivan, and Heather Nelson field a wide range of detailed questions on topics such as managing data science in the enterprise, architecting a data platform, and creating a modern enterprise data strategy. Even if you don’t have a specific question, join in to hear what others are asking. Read more.