Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference

Schedule: Data case studies sessions

9:00am12:30pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), Kyungtaak Noh (SK Telecom), Mike Prorock (, Hugo Sheng (Qlik), Neil Hirano (Dotz), Leandro Andrade (Dotz), Praveen Deorani (Holmusk), Ted Malaska (Capital One), Mike Koelemay (Lockheed Martin)
In a series of half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), Clifton Phua (NCS Group), Mark Donsky (Okera), Syed Rafice (Cloudera), Victor Chua (StarHub Ltd), carme artigas (Synergic Partners), Z lin (Teralytics)
The modern city is awash in data. Cheap sensors on cars, roads, and people give us a real-time understanding of traffic. We can track pollution, temperature, and climate with unerring precision. Satellite photographs reveal shade cover, property values, and building development. Read more.
2:35pm3:15pm Wednesday, December 6, 2017
Location: 321/322
Eric Tham (National University of Singapore), Radha Pendyala (Thomson Reuters)
Average rating: *****
(5.00, 1 rating)
Graphical techniques are increasingly being used for big data. These techniques can be broadly classified into the three C's: centrality, clustering, and connectedness. Eric Tham explains how these concepts are applied to supply chain analysis and financial portfolio management. Read more.
5:05pm5:45pm Wednesday, December 6, 2017
Location: 308/309
Average rating: ****.
(4.33, 3 ratings)
Andreas Hadimulyono discusses the challenges that Grab is facing with the ever-increasing volume and velocity of its data and shares the company's plans to overcome them. Read more.
4:15pm4:55pm Thursday, December 7, 2017
Location: 310/311
Wei Chen (Intel), Zhaojuan Bian (Intel)
Kudu is designed to fill the gap between HDFS and HBase. However, designing a Kudu-based cluster presents a number of challenges. Wei Chen and Zhaojuan Bian share a real-world use case from the automobile industry to explain how to design a Kudu-based E2E system. They also discuss key indicators to tune Kudu and OS parameters and how to select the best hardware components for different scenarios. Read more.