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

Schedule: Geospatial sessions

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9:00am5:00pm Tuesday, September 26, 2017
Location: 1E 07/08
Bradford Cross (DCVC), Robert Passarella (Protégé Partners), Jason Morton (Ascendant), Leigh Drogen (Estimize), Bob Levy (Virtual Cove, Inc.), Abraham Thomas (Quandl), Alistair Croll (Solve For Interesting), Robert Passarella (Protégé Partners), Vincent-Charles Hodder (Local Logic), Priya Koul (American Express), Tanvi Singh (Credit Suisse), José Ribau (CIBC), Michael Beal (Data Capital Management), Jike Chong (Tsinghua University | Acorns)
Finance is information. From analyzing risk and detecting fraud to predicting payments and improving customer experience, data technologies are transforming the financial industry. And we're diving deep into this change with a new day of data-meets-finance talks, tailored for Strata Data Conference events in the world's financial hubs. Read more.
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9:00am5:00pm Tuesday, September 26, 2017
Location: 1A 06/07
Ben Lorica (O'Reilly Media), Assaf Araki (Intel), Jacob Schreiber (University of Washington), Alex Ratner (Stanford University), Madeleine Udell (Cornell University), Yunsong Guo (Pinterest), Katherine Heller (Duke University), Alan Nichol (Rasa), Gerard de Melo (Rutgers University), Tamara Broderick (MIT), Inbal Tadeski (Anodot), Daniel Kang (Stanford University), Bichen Wu (UC Berkeley), Shaked Shammah (Hebrew University)
A full day of hardcore data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. Along the way, leading data science practitioners teach new techniques and technologies to add to your data science toolbox. Read more.
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11:20am12:00pm Wednesday, September 27, 2017
Data engineering, Data Engineering & Architecture
Location: 1A 23/24 Level: Intermediate
Zhenxiao Luo (Uber), Wei Yan (Uber)
Average rating: ****.
(4.43, 7 ratings)
Uber's geospatial data is increasing exponentially as the company grows. As a result, its big data systems must also grow in scalability, reliability, and performance to support business decisions, user recommendations, and experiments for geospatial data. Zhenxiao Luo and Wei Yan explain how Uber runs geospatial analysis efficiently in its big data systems, including Hadoop, Hive, and Presto. Read more.
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2:05pm2:45pm Thursday, September 28, 2017
Javier Esplugas (DHL Supply Chain), Kevin Parent (Conduce)
DHL has created an IoT initiative for its supply chain warehouse operations. Javier Esplugas and Kevin Parent explain how DHL has gained unprecedented insight—from the most comprehensive global view across all locations to a unique data feed from a single sensor—to see, understand, and act on everything that occurs in its warehouses with immersive operational data visualization. Read more.