Accepted Industrial Papers (In no particular order)

• Distributed Architecture of Oracle Database In-memory – Niloy Mukherjee (Oracle corporation) Shasank Chavan (Oracle Corporation) Maria Colgan (Oracle Corporation) Dinesh Das (Oracle Corporation) Mike Gleeson (Oracle Corporation) Sanket Hase (Oracle Corporation) Allison Holloway (Oracle Corporation) Hui Jin (Oracle Corporation) Jesse Kamp (Oracle Corporation) Kartik Kulkarni (Oracle Corporation) Tirthankar Lahiri (Oracle Corporation) Juan Loaiza (Oracle Corporation) Neil Macnaughton (Oracle Corporation) Vineet Marwah (Oracle Corporation) Andy Witkowski (Oracle Corporation) Jiaqi Yan (Oracle Corporation) Mohamed Zait (Oracle Corporation)
• Argonaut: Macrotask Crowdsourcing for Complex Data Processing – Adam Marcus (Locu/GoDaddy) Lydia Gu () Daniel Haas (UC Berkeley) Jason Ansel ()
• Building a Replicated Logging System with Apache Kafka – Guozhang Wang (LinkedIn) Joel Koshy () Sriram Subramanian () Kartik Paramasivam () Mammad Zadeh () Neha Narkhede () Jun Rao () Jay Kreps () Joe Stein ()
• Indexing and Selecting Hierarchical Business Logic – Anja Gruenheid (ETH Zurich) Alessandra Loro () Donald Kossman (ETH Zurich) Damien Profeta () Philippe Beaudequin ()
• Schema-Agnostic Indexing with Azure DocumentDB – Dharma Shukla (Microsoft), Shireesh Thota (Microsoft), Karthik Raman (Microsoft), Madhan Gajendran (Microsoft), Ankur Shah (Microsoft), Sergii Ziuzin (Microsoft), Krishnan Sundaram (Microsoft), Miguel Gonzalez Guajardo (Microsoft), Anna Wawrzyniak (Microsoft), Samer Boshra (Microsoft), Renato Ferreira (Microsoft), Mohamed Nassar (Microsoft), Michael Koltachev (Microsoft), Ji Huang (Microsoft), Sudipta Sengupta (Microsoft), Justin Levandoski (Microsoft), David Lomet (Microsoft)
• JetScope: Reliable and Interactive Analytics at Cloud Scale – Eric Boutin (Microsoft) Jaliya Ekanayake (Microsoft) Anna Korsun (Microsoft) Jingren Zhou (Microsoft)
• Differential Privacy in Telco Big Data Platform – Xueyang Hu () Mingxuan Yuan (Huawei Noah’s Ark Lab, Hong Ko) Jianguo Yao (Shanghai Jiao Tong University) Yu Deng () Lei Chen (Hong Kong University of Science and Technology, Hong Kong) Haibing Guan (Shanghai Jiao Tong University) Jia Zeng (Huawei Noah’s Ark Lab, Hong Ko)
• Optimization of Common Table Expressions in MPP Database Systems – Amr El-Helw (Pivotal) Venkatesh Raghavan (Pivotal) Mohamed Soliman (Pivotal) George Caragea () Zhongxian Gu (Datometry Inc.) Michalis Petropoulos ()
• Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads – Anil Goel (SAP AG) Jeffrey Pound (SAP Labs) Nathan Auch (SAP) Peter Bumbulis (SAP) Scott MacLean (SAP) Franz Faerber (SAP SE) Francis Gropengiesser (SAP) Christian Mathis (SAP) Thomas Bodner (SAP) Wolfgang Lehner (TU Dresden, Germany)
• FIT to monitor feed quality – Tamraparni Dasu (AT&T Labs-Research) Vladislav Shkapenyuk (AT&T Labs-Research) Divesh Srivastava (AT&T Labs-Research) Deborah Swayne (AT&T Labs-Research)
• Real-Time Analytical Processing with SQL Server – Paul Larson (Microsoft) Adrian Birka (Microsoft) Eric Hanson (Microsoft) Weiyun Huang (Microsoft) Michal Novakiewicz (Microsoft) Vassilis Papadimos (Microsoft)
• Efficient Evaluation of Object-Centric Exploration Queries for Visualization – You Wu (Duke University) Boulos Harb (Google Research) Jun Yang (Duke University) Cong Yu (Google Research)
• Gobblin: Unifying Data Ingestion for Hadoop – Lin Qiao (LinkedIn) Kapil Surlaker (LinkedIn) Shirshanka Das (LinkedIn) Chavdar Botev (LinkedIn) Yinan Li (LinkedIn) Sahil Takiar (LinkedIn) Henry Cai (LinkedIn) Narasimha Veeramreddy (LinkedIn) Min Tu (LinkedIn) Ziyang Liu (LinkedIn) Ying Dai (LinkedIn)
• Query Optimization in Oracle 12c Database In-Memory – Dinesh Das (Oracle) Jiaqi Yan (Oracle) Mohamed Zait (Oracle Corp) Satya Valluri () Nirav Vyas (Oracle) Ramarajan Krishnamachari (Oracle) Prashant Gaharwar (Oracle) Jesse Kamp (Oracle) Niloy Mukherjee (Oracle corporation)
• Live Programming Support in the LogicBlox System – Todd Green (LogicBlox, Inc) Dan Olteanu (Oxford & LogicBlox) geoffrey Washburn (LogicBlox, Inc)
• The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing – Tyler Akidau (Google, Inc) Robert Bradshaw (Google) Craig Chambers (Google) Slava Chernyak (Google) Rafael Fernández-Moctezuma (Google) Reuven Lax (Google) Sam McVeety (Google) Daniel Mills (Google) Frances Perry (Google) Eric Schmidt (Google) Sam Whittle (Google)
• One Trillion Edges: Graph Processing at Facebook-Scale – Avery Ching (Facebook) Dionysios Logothetis (Facebook) Sergey Edunov (Facebook) Maja Kabiljo (Facebook) Sambavi Muthukrishnan (Facebook)
• Gorilla: Facebook's Fast, Scalable, In-Memory Time Series Database – Justin Teller (Facebook) Scott Franklin (Facebook) Tuomas Pelkonen (Facebook) Paul Cavallaro (Facebook)
• ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection – Rahul Potharaju (MICROSOFT) Navendu Jain (MSR)
• Scaling Spark in the Real World – Michael Armbrust (Databricks Inc) Tathagata Das (Databricks Inc) Aaron Davidson (Databricks Inc) Ali Ghodsi (Databricks Inc) Andrew Or (Databricks Inc) Josh Rosen (Databricks Inc) Ion Stoica (UC Berkeley) Patrick Wendell (Databricks Inc) Reynold Xin (Databricks Inc) Matei Zaharia (MIT CSAIL)