If you are a Data Engineer, Data Scientist, Product Manager or simply interested how to utilise data to develop your business, this conference is for you. No matter the size of your company or the volume of your data, come and learn from the Biggest players of Big Data, get inspiration from their practices, from their successes and failures and network with other professionals like you.
The day will start at 9AM and the last talk will end around 6PM. After the sessions there will be a Crunch party at the conference venue.
The day will start at 9AM and the closing ceremony will end around 6PM.
Our full-day workshops will be announced soon. You need to buy separate workshop tickets to attend them.
The Magyar Vasúttörténeti Park (Hungarian Railway History Park) is Europe’s first interactive railway museum located at a railway
station and workshop of the Hungarian State Railways. There are over a hundred vintage trains, locomotives, cars and other
types of railroad equipment on display, including a steam engine built in 1877, a railcar from the 1930’s and a dining
car built in 1912 for the famous Orient Express.
On the conference days there will be direct Crunch trains in the morning from Budapest-Nyugati Railway Terminal to the venue, and in the evening from the venue to Budapest-Nyugati Railway Terminal, so we recommend to find a hotel near to Nyugati station.
|Stage 1||Stage 2|
|08:00 - 09:00||Registration & Breakfast|
|09:00 - 09:20||Intro & welcome|
|09:20 - 10:20||David Leonhardt: Data and the Future of Journalism|
|10:25 - 11:10||Tim Berglund: Kafka as a Platform: the Ecosystem from the Ground Up||Akos Izso: Selling Seats and Pushing Pints with Data|
|11:10 - 11:40||Coffee break|
|11:40 - 12:30||Mona Eldam and Yunchi Nam: Data, data, everywhere, Nor any drop to drink: Morgan Stanley's journey through the ocean of data||Jacek Laskowski: Deep Dive into Query Execution in Spark SQL 2.3|
|12:30 - 13:15||Jeffrey Theobald: Machine Learning: The Journey to Production||Kishore Gopalakrishna: Scaling the wall of real-time analytics with Pinot|
|13:15 - 14:50||Lunch|
|14:50 - 15:40||Milene Darnis, Atul Gupte: Democratizing Data Science at Uber||Chris Travers: PostgreSQL at 20TB and Beyond|
|15:40 - 16:25||Chris Stucchio: AI Ethics, Impossibility Theorems and Tradeoffs||Abhishek Tiwari: Stream and Batch Data Integration at LinkedIn scale using Apache Gobblin|
|16:50-17:35||Jonathon Morgan: Machine Learning and Information Warfare|
|17:45-23:15||Networking / Dinner / Party|
|Stage 1||Stage 2|
|08:00 - 09:10||Registration & Breakfast|
|09:10 - 09:25||Intro & welcome|
|09:25 - 10:10||Tyler Akidau: Foundations of streaming SQL or: How I learned to love stream and table theory|
|10:15 - 11:00||Matt Digan: Moving to a House in the Clouds - Our New Data Infrastructure and Lessons We Learned||Christoph Reininger: From Data Science to Business Science - How data scientists @ Runtastic translate stakeholder needs|
|11:00 - 11:30||Coffee break|
|11:30 - 12:20||Ananth Packkildurai: Operating data pipeline using Airflow @ Slack||Juliet Hougland: Enabling Full Stack Data Scientists|
|12:20 - 13:05||Nate Kupp: From humble beginnings: building the data stack at Thumbtack||Ajay Gopal: "Full-Stack" Data Science with R|
|13:05 - 14:40||Lunch|
|14:40 - 15:30||Szilard Pafka: Better than Deep Learning: Gradient Boosting Machines (GBM)||Andrey Sharapov: Building data products: from zero to hero!|
|15:30 - 16:15||Jon Morra: A Data Science Ecosystem to Learn Opinions of Videos||Wes McKinney: Apache Arrow: A Cross-language Development Platform for In-memory Data|
|16:30 - 16:50||Coffee break|
|16:50 - 17:35||Thomas W Dinsmore: The Path to Open Data Science|
|17:35 - 17:50||Closing ceremony|
|09:00 - 18:00||Workshops (only in case you have purchased a separate Workshop ticket)|
Locations of workshops:
CRUNCH is a non-profit conference. We are looking for sponsors who help us make this conference happen.
Take a look at our sponsor packages and contact us at email@example.com
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Conference staff will be happy to help participants contact hotel/venue security or local law enforcement, provide escorts, or otherwise assist those experiencing harassment to feel safe for the duration of the conference. We value your attendance.
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