3 days and over 100 hours of content • 3 Keynotes • Over 60 world-class speakers • A dozen hands-on workshops and demos • Over 40 expert talks
Join us for Big Data Ignite 2017, Michigan’s premier conference on applied Big Data, IoT, and Cloud Computing. Big Data Ignite 2017 takes place on September 27-29 at the DeVos Place Conference Center in Grand Rapids, Michigan.
EXPERIENCE BIG DATA IGNITE
Big Data Ignite is the premier conference and workshop experience for data professionals, developers, managers and anyone interested in the way that Big Data, IoT and Cloud Computing are changing our world.
SOME OF OUR FEATURED SPEAKERS
Dr. Harsha Rajasimha
Global Director | NTT DATA Inc.
Senior Technical Instructor | Amazon Web Service
Algorithmist | Darwin Ecosystem and IBM Watson
Data Scientist | MapR
Senior Analyst, Advanced Analytics | Steelcase
Sr ETL Administrator | Meijer
Dave Zeitler, Ph. D
Associate Professor of Statistics | Grand Valley State University
THREE DAYS OF LEADING-EDGE SPEAKERS, HANDS-ON WORKSHOPS AND TALKS
More than 60 sessions and over 40 individual speakers and instructors make Big Data Ignite a world-class event for technology professionals, entrepreneurs and managers.
Find a few select sessions below, or check the FULL SCHEDULE ›
Developing a Cloud Data Strategy Begins at 900AM and 1055AM • 90 mins2 Sessions
Bhaskar Gunda | Principal and Senior Enterprise Data Architect
Aaron Kamphuis | Principal and Senior Consultant, IoT, & Data Analyst
Luc Durette | Senior Consultant of Data Analytics
Open Systems Technologies (OST)
Senior OST consultants will demonstrate how to design, configure, deploy, and operate a big-data pipeline to provide real-time, historical, and predictive data analysis.
Amazon Web Service - Data Warehousing and Amazon Redshift Begins at 900AM • 90 mins2 Sessions
Mark Fei | Senior Technical Instructor at Amazon Web Service
This workshop will provide an overview of what’s meant by "data warehouse" versus "database," but then immediately dive into an overview of Amazon Redshift, its architecture, capabilities, and applications. This session will provide access to a complete hands-on lab experience as well.
Introduction to Statistical Machine Learning Begins at 900AM and 1055AM • 90 mins2 Sessions
David Zeitler, Ph.D. | Grand Valley State University
This workshop will look at some of the statistical techniques utilized in machine learning using the R statistical programming language, including some common techniques thought of more as engineering methods but which share the common goal of producing adaptive machines.