NEXT UP: BARCELONA, SEPTEMBER, 2018
Watch this page for the latest updates on our 3-track conference schedule. Please note that schedule is subject to change by the organizer.
| 8:00 - 9:00AM | Registration and Breakfast | |||
| 9:00 - 9:15AM | Welcome, announcements & track host intros | |||
| 9:15 - 9:50AM | Keynote #1: Data Science: Past, Present, Future (Jocelyn Goldfein, Shubha Nabar, Omoju Miller, Jennifer Prendki) | |||
| 10:00 - 10:40AM |
Taming the Deep Learning Workflow - Evan Sparks (Determined AI) |
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| 10:45 - 11:25AM |
How to do Segmentation Right - A Practical Guide for Data Scientists - Ruben Kogel (VSCO) Office Hours: Evan Sparks, Determined AI |
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| 11:30 - 12:10PM |
Fast & Effective: Natural Language Understanding - Mike Conover (Workday) Office Hours: Ruben Kogel, VSCO |
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| 12:15 - 1:15PM | Lunch | |||
| 1:15 - 1:55PM |
Weld: Accelerating Data Science by 100x - Shoumik Palkar (Stanford) Office Hours: Mike Conover, Workday |
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| 2:00 - 2:40PM |
Office Hours: Shoumik Palkar, Stanford |
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| 2:45 - 3:15PM | Coffee Break | |||
| 3:15 - 3:55PM |
Data Access for Data Science - Jacques Nadeau (Dremio) Office Hours: Asif Khalak & Sergio Martinez-Ortuno, Collective Health |
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| 4:00 - 4:45PM |
Enabling Full Stack Data Scientists at Stitch Fix - Juliet Hougland (Stitch Fix) Office Hours: Jacques Nadeau, Dremio |
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| 5:00 - 7:00PM | DATA COMMUNITY PARTY @ Holiday Inn Golden Gateway | |||
| 8:00 - 9:00AM | Registration and Breakfast | |||
| 9:00 - 9:15AM | Welcome, announcements & track host intros | |||
| 9:15 - 9:50AM | Keynote #1: Data Science: Past, Present, Future (Jocelyn Goldfein, Shubha Nabar, Omoju Miller, Jennifer Prendki) | |||
| 10:10 - 10:30AM | The Streaming Data Framework that Startups are Adopting (Vid Jain, Wallaroo Labs) | |||
| 10:35 - 10:55AM |
Packaging, Deploying and Running Spark Applications in Production at Mapbox (Saba El-Hilo, Mapbox) |
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| 11:00 - 11:20AM |
How Wootric Uses NLP and ML to Make Sense of Hundreds of Thousands of Surveys (Prabhat Jha, Wootric) |
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| 11:25 - 11:45AM | Building Bots and Conversational AI using Deep Learning (Mitul Tiwari, Passage AI) | |||
| 11:50 - 12:10PM |
How to Leverage Multiple Analytics Engines and Not Lose Track of Your Data (Raghu Murthy, Datacoral) |
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| 12:15 - 1:15PM |
Lunch |
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| 1:15 - 1:35PM |
A Serverless Approach to Adding Notifications Features to Any Analytics Application (Paul Lappas, Intermix) |
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| 1:40 - 2:00PM |
Hyper-Parameter Tuning Across Your ENTIRE Pipeline: From Model Training to Model Inference (Chris Fregly, Pipeline AI) |
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| 2:05 - 2:25PM | Starting from Scratch in a World Where Data is Everything (Simon Kozlov, Instrumental) | |||
| 2:30 - 2:50PM | ETL vs ELT for Big Data (Artyom Keydunov, Statsbot) | |||
| 2:50 - 3:15PM | Coffee Break | |||
| 3:15 - 3:35PM | Adventures (and Misadventures) in Automated Insight Discovery (Mike Kim, Outlier) | |||
| 3:40 - 4:00PM | How to Monitor and Get Insights From Your Blockchain (Shawn Douglass, Amber Data) | |||
| 4:10 - 5:00PM | VC Panel (Lisha Li, Leo Polovets & other guests) | |||
| 5:00 - 7:00PM | DATA COMMUNITY PARTY @ Holiday Inn Golden Gateway | |||
| 8:00 - 9:00AM | Registration and Breakfast | |||
| 9:00 - 9:15AM | Day 2 - Welcome, announcements & track host intros | |||
| 9:15 - 9:50AM | Keynote #2: The Design of Systems for Real-time Prediction Serving - Joseph Gonzalez (RISE Lab, UC Berkeley) | |||
| 10:00 - 10:40AM |
Office Hours: Joseph Gonzalez (RISE Lab, UC Berkeley) |
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| 10:45 - 11:25AM |
Uber’s Data Journey: 100+PB with Minute Latency - Reza Shiftehfar (Uber) Office Hours: Tathagata Das, Databricks |
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| 11:30 - 12:10PM |
Office Hours: Reza Shiftehfar, Uber |
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| 12:15 - 1:15PM | Lunch | |||
| 1:15 - 1:55PM |
A Trillion Rows Per Second as a Foundation for Interactive Analytics - Eric Hanson (MemSQL) Office Hours: Julien Le Dem, WeWork |
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| 2:00 - 2:40PM |
Efficiently Storing and Calculating Engagement Metrics At Massive Scale - Corey Bort (Facebook) Office Hours: Eric Hanson, MemSQL |
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| 2:45 - 3:15PM | Coffee Break | |||
| 3:15 - 3:55PM |
What the Heck is an In-Memory Data Grid? - Addison Huddy (Pivotal) Office Hours: Corey Bort, Facebook |
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| 4:00 - 4:45PM | ||||
| 5:00PM | Conference End :( | |||
| 8:00 - 9:00AM | Registration and Breakfast | |||
| 9:00 - 9:15AM | Day 2 - Welcome, announcements & track host intros | |||
| 9:15 - 9:50AM | Keynote #2: The Design of Systems for Real-time Prediction Serving - Joseph Gonzalez (RISE Lab, UC Berkeley) | |||
| 10:00 - 10:40AM |
A Multi-Armed Bandit Framework for Recommendations at Netflix - Jaya Kawale & Elliot Chow (Netflix) Office Hours: Joseph Gonzalez (RISE Lab, UC Berkeley) |
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| 10:45 - 11:25AM |
AutoML: The Assembly Line of Machine Learning - Mayukh Bhaowal (Salesforce) Office Hours: Jaya Kawale & Elliot Chow, Netflix |
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| 11:30 - 12:10PM |
Democratizing Metric Definition and Discovery at Airbnb - Lauren Chircus (Airbnb) Office Hours: Mayukh Bhaowal, Salesforce |
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| 12:15 - 1:15PM | Lunch | |||
| 1:15 - 1:55PM |
Office Hours: Lauren Chircus, Airbnb |
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| 2:00 - 2:40PM |
Marketplace Optimization at Uber - Christopher Wilkins (Uber) Office Hours: Kelley Rivoire, Stripe |
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| 2:45 - 3:15PM | Coffee Break | |||
| 3:15 - 3:55PM |
Hazardous Models and Risk Mitigation in Real Estate (Xinlu Huang & David Lundgren, Opendoor) Office Hours: Christopher Wilkins, Uber |
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| 4:00 - 4:45PM | ||||
| 5:00 | Conference End :( | |||
| 8:00 - 9:00AM | Registration and Breakfast | |||
| 9:00 - 9:15AM | Welcome, announcements & track host intros | |||
| 9:15 - 9:50AM | Keynote #2: The Design of Systems for Real-time Prediction Serving - Joseph Gonzalez (RISE Lab, UC Berkeley) | |||
| 10:10 - 10:30AM | Building Big Communities with Big Queries (Paul Burt, CoreOS) | |||
| 10:35 - 10:55AM |
Datasets not Dashboards (Sameer Al-Sakran, Metabase) |
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| 11:00 - 11:20AM |
NuCypher's Proxy Re-Encryption for Distributed Systems - Managing Private Data on Public Blockchains (MacLane Wilkison, NuCypher) |
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| 11:25 - 11:45AM | Dead Simple Search A/B Testing with Scala and Spark (Sean Quigley, GIPHY) | |||
| 11:50 - 12:10AM |
Compliant Data Management and Machine Learning at Scale (Daniel Whitenack, Pachyderm) |
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| 12:15 - 1:15PM |
Lunch |
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| 1:15 - 1:35PM |
Actionable and Interpretable Predictions from a Stacked Model (Austen Head, Halo Technologies) |
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| 1:40 - 2:00PM |
KISS - Keep it SQL, Stupid (Connor McArthur, DBT) |
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| 2:05 - 2:25PM | Lessons Learned Deploying Machine Learning and Deep Learning Models in Production (Jerry Xu, Datatron) | |||
| 2:30 - 2:50PM | Real Time Text Matching at Scale (Shayan Mohanty, Watchful) | |||
| 2:50 - 3:15PM | Coffee Break | |||
| 3:15 - 3:35PM | Three Weird Tips for High Performance Analytics Applications (Gian Merlino, Imply) | |||
| 3:40 - 4:00PM | Version and Deploy Datasets at Scale (Kevin Moore, Quilt) | |||
| 4:00 - 5:00PM | Keynote #3: Leveling Up Your Career in Data (Guy Bayes, Jasmine Tsai, Noelle Sio Saldana, Aline Lerner) | |||
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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