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

Schedule: Emerging Technologies sessions

2:05pm2:45pm Wednesday, September 27, 2017
Location: 1E 10/11
Michael Dauber (Amplify Partners), Sarah Catanzaro (Amplify Partners), Katherine Boyle (General Catalyst), Lisha Li (Amplify Partners), Sandeep Bhadra (Vertex Ventures)
Average rating: ***..
(3.50, 2 ratings)
In a panel discussion, top-tier VCs look over the horizon and consider the big trends in big data, explaining what they think the field will look like a few years (or more) down the road. Read more.
2:05pm2:45pm Thursday, September 28, 2017
Location: 1A 23/24 Level: Advanced
Julien Le Dem (WeWork)
Average rating: ****.
(4.75, 4 ratings)
Julien Le Dem explains how Parquet is improving at the storage level, with metadata and statistics that will facilitate more optimizations in query engines in the future, how the new vectorized reader from Parquet to Arrow enables much faster reads by removing abstractions, and how standard Arrow-based APIs are paving the way to breaking the silos of big data. Read more.
2:55pm3:35pm Thursday, September 28, 2017
Location: 1A 08/10 Level: Intermediate
Secondary topics:  Deep learning
Mike Pittaro (Dell EMC)
The advances we see in machine learning would be impossible without hardware improvements, but building a high-performance hardware platform is tricky. It involves hardware choices, an understanding of software frameworks and algorithms, and how they interact. Mike Pittaro shares the secrets of matching the right hardware and tools to the right algorithms for optimal performance. Read more.
4:35pm5:15pm Thursday, September 28, 2017
Location: 1A 08/10 Level: Non-technical
Secondary topics:  Cloud
Karim Chine (RosettaHUB)
Karim Chine offers an overview of rosettaHUB—which aims to establish a global open data science metacloud centered on usability, reproducibility, auditability, and shareability—and shares the results of the rosettaHUB/AWS Educate initiative, which involved 30 higher education institutions and research labs and over 3,000 researchers, educators, and students. Read more.