NEXT UP: SAN FRANCISCO, APRIL 17-18, 2019
NEXT UP: SAN FRANCISCO, APRIL 17-18, 2019
| 9:00 - 10:00AM | Registration and Breakfast | |||
| 10:00 - 10:15AM | Welcome, announcements (Pete Soderling) | |||
| 10:15 - 11:00AM | Keynote #1: Computer Vision in Space - Marco Bressan (Satellogic) | |||
| 11:00 - 11:45AM |
Creating an Extensible Big Data Platform - Reza Shiftehfar (Uber) Office Hours - Marco Bressan, Satellogic |
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| 11:45 - 12:30AM |
Building Highly Reliable Data Pipelines at Datadog - Quentin Fancois (Datadog) Office Hours - Reza Shiftehfar, Uber |
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| 12:30 - 1:15PM |
Automation of Machine Learning Workfkows at BBVA - Jose Serrano (BBVA) Office Hours - Quentin Francois, Datadog |
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| 1:15 - 2:15PM | Lunch | |||
| 2:15 - 3:00PM |
Flink SQL in Action - Timo Walther (Data Artisans) Office Hours - Jose Serrano, BBVA |
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| 3:00 - 3:45PM |
DBT: Powerful, Open Source Data Transformations - Connor McArthur (Fishtown Analytics) Office Hours - Timo Walther, Data Artisans |
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| 3:45 - 4:30PM |
Data Processing with Apache Beam: Towards Portability and Beyond - Maximilian Michels (Google) Office Hours - Connor McArthur, Fishtown Analytics |
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| 4:30 - 5:00PM | Coffee Break | |||
| 5:00 - 5:45PM |
OASIS – A Data Analysis Platform for the Enterprise - Keiji Yoshida (LINE) Office Hours - Maximilian Michels, Google |
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| 5:45 - 6:30PM |
GDPR Panel (Alberto Betella, Jordi Miro and David Garcia) Office Hours - Keiji Yoshida, LINE |
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| 7:00 - 9:00PM | DATA COMMUNITY PARTY | |||
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
| 9:00 - 10:00AM | Registration and Breakfast | |||
| 10:00 - 10:15AM | Day 2 - Welcome, announcements (Pete Soderling) | |||
| 10:15 - 11:00AM | Keynote #2: Apache Arrow: A Cross-language Development Platform for In-memory Data - Wes McKinney (Ursa Labs) | |||
| 11:00 - 11:45AM |
Office Hours: Wes McKinney (Ursa Labs) |
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| 11:45 - 12:30AM |
Using R in a Mid-Sized Data Analysis Scenario - Richard Brosi (Yara Digital Labs) Office Hours: Paul Lappas, Intermix |
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| 12:30 - 1:15PM |
Creating a Data Engineering Culture - Jesse Anderson (Big Data Institute) Office Hours: Richard Brosi (Yara Digital Labs) |
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| 1:15 - 2:15PM | Lunch | |||
| 2:15 - 3:00PM |
Easy Aaccess to Data with Presto - Iker Martinez de Apellaniz & Albert Franzi Cros (Schibsted) Office Hours: Jesse Anderson, Big Data Institute |
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| 3:00 - 3:45PM |
Building a Feature Platform to Scale Machine Learning - Willem Pienaar (GO-JEK) Office Hours: Iker & Albert (Schibsted) |
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| 3:45 - 4:30PM |
Driving in Dataland - Carlos Herrera (Cabify) Office Hours: Willem Pienaar, GO-JEK |
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| 4:30 - 5:00PM | Coffee Break | |||
| 5:00 - 5:45PM |
Event-Driven Data Architecture at Letgo - Ricardo Fanjul (Letgo) Office Hours: Carlos Herrera (Cabify) |
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| 5:45PM - 6:30PM |
Big Data Platform-as-a-Service for Cross-Media Monitoring - Liana Napalkova & Juan Castro (Eurecat) Office Hours: Ricardo Fanjul, Letgo |
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| 6:30PM - 6:45PM |
Closing Remarks - Pete Soderling |
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| 6:45PM | Conference End | |||
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
DataEngConf is the first technical conference that bridges the gap between data engineering and data science hosted by Hakka Labs - a community for software engineers, data scientists and data analysts centered around open source data technologies. Our events, content, and training programs are designed to give engineers the knowledge and insights to build scalable, analytical systems to handle ever-increasing amounts of data.
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