Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Schedule: E-commerce and Retail sessions

12:05–12:45 Wednesday, 23 May 2018
Using Alluxio as a fault-tolerant pluggable optimization component of JD.com's compute frameworks
Data engineering and architecture, Data-driven business management
 Location: S11B Level: Beginner
Baolong Mao (JD.com), Yiran Wu (JD.com), Yupeng Fu (Alluxio)
Mao Baolong, Yiran Wu, and Yupeng Fu explain how JD.com uses Alluxio to provide support for ad hoc and real-time stream computing, using Alluxio-compatible HDFS URLs and Alluxio as a pluggable optimization component. To give just one example, one framework, JDPresto, has seen a 10x performance improvement on average. Read more.
12:05–12:45 Wednesday, 23 May 2018
Deep learning for recommender systems
Data science and machine learning
 Location: Capital Suite 13 Level: Intermediate
Nick Pentreath (IBM)
Average rating: ****.
(4.43, 7 ratings)
In the last few years, deep learning has achieved significant success in a wide range of domains, including computer vision, artificial intelligence, speech, NLP, and reinforcement learning. However, deep learning in recommender systems has, until recently, received relatively little attention. Nick Pentreath explores recent advances in this area in both research and practice. Read more.
14:55–15:35 Wednesday, 23 May 2018
Machine learning for time series: What works and what doesn't
Data science and machine learning
 Location: Capital Suite 12 Level: Intermediate
Mikio Braun (Zalando)
Average rating: ****.
(4.40, 15 ratings)
Time series data has many applications in industry, in particular predicting the future based on historical data. Mikio Braun offers an overview of time series analysis with a focus on modern machine learning approaches and practical considerations, including recommendations for what works and what doesn't. Read more.
11:15–11:55 Thursday, 24 May 2018
Improving ad hoc and production workflows at Stitch Fix
Big data and data science in the cloud, Data engineering and architecture, Platform security and cybersecurity
 Location: S11A Level: Intermediate
Neelesh Salian (Stitch Fix)
Average rating: *....
(1.00, 1 rating)
Neelesh Srinivas Salian offers an overview of the compute infrastructure used by the data science team at Stitch Fix, covering the architecture, tools within the larger ecosystem, and the challenges that the team overcame along the way. Read more.