There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 2 (maybe 3) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day would look:
11 a.m.
11:50 a.m.
- An update from the the architect of one of the most exciting components in the Spark ecosystem => Mixing Structured Data and Analytics with Spark SQL
- Apache HBase Application Archetypes
- Preemptive Shipping: How Gilt Predicts Which Customers Will Buy Products It Has Never Sold Before
1:45 p.m.
- Interactive Visual Data Exploration with Spark
- Learn how AWS Customers are Building Their Big Data Operating System with Real-time Ingestion, Stream Processing, and Big Data Analytics
- Back-to-back 20 minute sessions on visualizing large-scale data sets => Graphistry: Scaling Visual Exploration with GPUs and Design and Nanocubes: Interactive Visual Exploration of Large, Geospatial, Temporal Datasets
2:35 p.m.
- Secure Machine Learning
- Super Simple Internet of Things Backend: Persistence Post Hadoop with Crate Data
- Design and Data, A Human Centered Approach to Analysis, Experiment Design, and Visualization
4:15 p.m.
- An Independent Comparison of Open Source SQL-on-Hadoop
- Fashioning Fit: Determining Fit Through Data
- Distributed Gradient Boosting Machine
5:05 p.m.