Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Schedule: Emerging technologies & case studies sessions

9:00am–5:00pm Tuesday, 09/11/2018
Location: 1A 08
Alistair Croll (Solve For Interesting), Robert Passarella (Alpha Features), Amro Alkhatib (National Health Insurance Company-Daman), Mridul Mishra (Fidelity Investments), Patrick Angeles (Cloudera), James Psota (Panjiva ), Andreas Kohlmaier (Munich Re), Paul Lashmet (Arcadia Data), Nick Curcuru (Mastercard), Robin Way (Corios), Theresa Johnson (Airbnb), Jane Tran (Unqork), Swatee Singh (American Express)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
9:00am–5:00pm Tuesday, 09/11/2018
Location: 1E 10
Paco Nathan (derwen.ai), Katharina Warzel (EveryMundo), Mike Berger (Mount Sinai Health System), Sam Helmich (Deere & Company), Stephanie Fischer (datanizing GmbH), Maryam Jahanshahi (TapRecruit), Greg Quist (SmartCover Systems), Ann Nguyen (Whole Whale), Steve Otto (Navistar), Jennifer Lim (Cerner), S Anand (Gramener), Ian Brooks (Hortonworks)
Hear practical insights from household brands and global companies: the challenges they tackled, approaches they took, and the benefits—and drawbacks—of their solutions. Read more.
1:15pm–1:55pm Wednesday, 09/12/2018
Location: 1A 21/22 Level: Intermediate
Secondary topics:  Blockchain and decentralization, Data preparation, governance and privacy
Minh Chau Nguyen (ETRI), Heesun Won (ETRI)
Average rating: **...
(2.20, 5 ratings)
Minh Chau Nguyen and Heesun Won explain how to implement analytics services in data marketplace systems on a single Hadoop cluster across distributed data centers. The solution extends the overall architecture of the Hadoop ecosystem with the blockchain so that multiple tenants and authorized third parties can securely access data while still maintaining privacy, scalability, and reliability. Read more.
2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1E 09 Level: Advanced
Anant Chintamaneni (BlueData), Nanda Vijaydev (BlueData)
Average rating: *****
(5.00, 1 rating)
Kubernetes (K8s)—the open source container orchestration system for modern big data workloads—is increasingly popular. While the promised land is a unified platform for cloud-native stateless and stateful data services, stateful, multiservice big data cluster orchestration brings unique challenges. Anant Chintamaneni and Nanda Vijaydev outline the considerations for big data services for K8s. Read more.
11:20am–12:00pm Thursday, 09/13/2018
Location: 1A 23/24 Level: Advanced
Ted Dunning (MapR)
Average rating: ****.
(4.00, 4 ratings)
Stateful containers are a well-known anti-pattern, but the standard solution—managing state in a separate storage tier—is costly and complex. Recent developments have changed things dramatically for the better. In particular, you can now manage a high-performance software-defined-storage tier entirely in Kubernetes. Ted Dunning describes what's new and how it makes big data easier on Kubernetes. Read more.
2:00pm–2:40pm Thursday, 09/13/2018
Location: 1E 07/08 Level: Beginner
Karthik Ramasamy (Streamlio), Matteo Merli (Streamlio)
Average rating: ****.
(4.50, 2 ratings)
Apache Pulsar is being used for an increasingly broad array of data ingestion tasks. When operating at scale, it's very important to ensure that the system can make use of all the available resources. Karthik Ramasamy and Matteo Merli share insights into the design decisions and the implementation techniques that allow Pulsar to achieve high performance with strong durability guarantees. Read more.