Share your passion for #data

The Data Festival 2019 will take place from 20 to 21 March at the Muffatwerk in Munich. In addition, there will be a day of exciting pre-conference workshops on March 19. The focus will be on Data Science & Machine Learning, Data Engineering & Architecture, Data Visualization & Analytics, Fast Data, Infrastructure & Databases as well as Agile Development, Blockchain, Data Ethics and Data Privacy. The Tech Deep Dive Stage will be held for the first time in 2019.

The conference brings together the community of users and data experts, including data scientists, data engineers, AI and machine learning experts, analysts, BI professionals, software developers, software architects, scientists, researchers, and more.

Days left:

Our first speakers for the Data Festival 2019 are confirmed!

Learn more about the Festival Lineup 2019

Dr. Markus Schmidberger

Dr. Markus Schmidberger

Head of Data Technology | Scout24 AG

Dr. Holger Kömm

Dr. Holger Kömm

Director Data Science Lab | Adidas AG

Dr. Annina Neumann

Dr. Annina Neumann

VP Data Technology | ProSiebenSat.1 Media SE

Mathias Richter

Mathias Richter

Senior Consultant Digital Transformation | DB Fernverkehr AG

Filip Vitek

Filip Vitek

Head of Data Science | TeamViewer

Christopher Lennan

Christopher Lennan

Senior Data Scientist | idealo internet GmbH

Ingo Alzner

Ingo Alzner

Platform Manager BI & Big Data | Porsche AG

Dániel Molnár

Dániel Molnár

Data Engineer | Shopify

Save now!

Buy your Early Bird ticket today for the absolute early bird price. Available until February 19th.

Schedule of the Data Festival 2019

One day workshop and two days conference - the focus is on the data community.

March 19th

Pre-Conference Workshop

Exclusive all-day workshops by top-class and experienced experts on the application and implementation of methods, technologies and architectures.

Advanced Data Architecture & Design für Analytics

Jacqueline Bloemen | Deutsch

Machine Learning Kickstarter

Prof. Peer Kröger & Maria Egorova | Englisch

Data Engineering 101

Simon Kaltenbacher | Englisch

Data Kickstarter – How to Identify Data-Driven Use Cases

Nadiem von Heydebrand | Englisch

Data Science für Business Analysten

Dr. Sebastian Derwisch | Deutsch

March 20th - March 21st

Conference

Data Science & Machine Learning

Deep Learning, Artificial Intelligence, Text Mining & Semantic Search, Speech & Image Recognition, Predictive Analytics, Autonomous Driving, Governance & Compliance

Data Engineering & Architecture

DevOps, Data Integration and Preparation, Container, Data Lake Architecture, Big Data Plattforms, Big Data Architecture, Security & Privacy

Data Visualization & Analytics

Information Design, Geo-/Spatial Analytics, Graph Analytics, Big Data Analytics, Data Discovery, Storytelling, IoT Analytics

Fast Data

Streaming & Event Processing, Real Time Analytics, Data Virtualization

Infrastructure & Databases

Cloud Storage & Computing, GPU Computing, NoSQL Databases, Distributed Databases

Agile Development

Scrum, Kanban, Extreme Programming

Blockchain

Smart Contracts, News business models

Data Ethics

Data Ownership, Accountability

Data Privacy

GDPR, Data Collection

Our Program Committee 2019

With experience in business and academia.

Dr. Carsten Bange

ist CEO von BARC, dem Business Application Research Center.

Alexander Thamm

ist Gründer und CEO der Alexander Thamm GmbH, der ersten echten Data Science Beratung Deutschlands.

Dr. Alexander Borek

ist Global Head of Data & Analytics bei der Volkswagen Financial Services AG.

Prof. Peer Kröger

ist Head des Data Labs der LMU München.

Marcel Kling

ist Director Customer Data & Advanced Analytics bei der Lufthansa Group.

Dr. Holger Kömm

Director Data Science Lab bei adidas Group

Dr. Kerem Tomak

ist Divisional Head Big Data & Advanced Analytics (BDAA) bei der Commerzbank AG.

Dat Tran

ist Head of Data Science bei idealo.de