Program Overview
SIGMOD/PODS 2019 Program Overview
Conference Days: Sunday | Monday | Tuesday | Wednesday | Thursday | Friday
The detailed and actualized program with all paper details can be found on confer.csail.mit.edu/sigmod2019.
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Sunday, June 30, 2019: Workshops & Tutorials |
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Grote zaal |
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Berlage zaal |
Administratiezaal |
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8:00-8:30 |
coffee |
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8:30-9:00 |
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9:00-10:30 |
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10:30-11:00 |
coffee |
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11:00-12:30 |
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12:30-14:00 |
lunch |
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14:00-15:30 |
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15:30-16:00 |
coffee + Workshop Poster Session |
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16:00-16:30 |
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16:30-18:00 |
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18:00-18:15 |
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18:15-19:45 |
PODS Reception |
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Tutorial 1: Towards Democratizing Relational Data Visualizations | |||||||
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Tutorial 3: Database and Distributed Computing Foundations of Blockchains | |||||||
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Tutorial 2: Exploring the Data Wilderness through Examples | |||||||
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Monday, July 1, 2019: PODS & DaMoN |
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Grote zaal |
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Graanbeurszaal |
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8:00-8:30 |
coffee |
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8:30-10:00 |
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10.00-11:00 |
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11:00-11:30 |
coffee |
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11:30-13:00 |
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13:00-14:30 |
lunch |
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14:30-16:30 |
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16:30-17:00 |
coffee |
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17:00-18:00 |
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18:00-19:00 |
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Tuesday, July 2, 2019: SIGMOD & PODS |
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Grote zaal |
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Graanbeurszaal |
Administratiezaal |
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8:00-8:30 |
coffee |
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8:30-8:50 |
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8:50-10:20 |
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| 10:20-11:00 | |||||||
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11:00-11:30 |
coffee |
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| 12:50-14:20 |
lunch |
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14:20-16:20 |
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16:20-17:20 |
Demos A, B & Programming Contest |
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17:20-17:50 |
Demos A, B & Programming Contest |
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17:50-19:50 |
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19:50-20:30 |
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20:30 - 23:00 |
SIGMOD reception @ Van Gogh Museum |
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Thursday, July 4, 2019: SIGMOD |
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Grote zaal |
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Graanbeurszaal |
Administratiezaal |
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8:00-8:30 |
coffee |
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8:30-10:00 |
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10:00-11:00 |
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11:00-11:30 |
coffee |
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11:30-12:50 |
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12:50-14:20 |
lunch Grote Zaal |
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14:20-16:20 |
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16:20-17:30 |
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17:30-17:50 |
ADS borrel (ADS: Amsterdam Data Science) |
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17:50-18:00 |
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18:00-19:30 |
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19:30-20:00 |
ADS borrel | ||||||
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Friday, July 5, 2019: Workshops & Tutorials |
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Grote zaal |
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Berlage zaal |
Administratiezaal |
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8:30-9:00 |
coffee |
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9:00-10:30 |
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10:30-11:00 |
coffee |
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11:00-12:30 |
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12:30-14:00 |
lunch |
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14:00-15:30 |
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15:30-16:30 |
coffee |
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16:30-18:00 |
aiDM | |||||||
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Tutorial 4: Classical and Contemporary Approaches to Big Time Series Forecasting | |||||||
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Tutorial 6: From Auto Tuning One Size Fits All to Self-designed and Learned Data Intensive Systems |
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Tutorial 5: Data Pipelines for User Group Analytics | |||||||
| Tutorial 7: Schemas and Types for JSON Data: From Theory to Practice | ||||||||





