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The Budapest Data+ML Forum will be back in 2024, the conference site is available here.

About the conference

The Budapest Data Forum is an international data architecture and data engineering conference, now in its 15th year. It will take place on June 5-8 in a hybrid format at the venue of Danubius Hotel Helia.

Data+ML together

This year the event will be co-hosted with the Budapest ML Forum, offering 4 days of great data science and data engineering tutorials, tech talks, case studies and roundtables.

Explore Budapest!

The Budapest Data Forum will be held in the charming capital of Hungary and provides an excellent opportunity to discover the sights, baths and pubs of Budapest.

Key topics

The conference aims to cover everything needed to build and run a great data platform:
data engines, date engineering tools, methods and best practices. The program is managed by the Program Committee.

Data architectures
& modeling

Cloud data
warehouses

Data warehouse
automation

Data Governance
& Metadata

Data Integration,
ETL, Reverse ETL

Data Quality
& Observability

Stream processing
& analytics

Analytic & Time series
Databases

The Budapest Data Forum is a bilingual conference with English and Hungarian talks.
The first day of the conference will be in-person in Budapest (streaming available),
the second day will be online only with 100% remote talks.

Read more about the topics of data science, machine learning and AI on the Budapest ML Forum page. 

Speakers

In-person day (Wednesday, June 7th)

Imre Szücs

 

Imre Szücs

Chief Analytics Officer
MOL Group (HU)

Data + AI landscape @ MOL
keynote case study
Bill Zhang

 

Bill Zhang

Senior Director Product Management, Data Warehousing, Cloudera (US)

Accelerate Open Data Lakehouse Implementations with Apache Iceberg
Apache Iceberg Data Lake
Márton Pinczel

 

Márton Pinczel

Data Quality and Automation Support Lead
Morgan Stanley (HU)

Using AI in Data Quality
Data modeling Data Quality & Observability
GÁBOR GOLLNHOFER

 

GÁBOR GOLLNHOFER

Managing Director
Meta Consulting (HU)

Data platform automatizáció
DATA LAKE DATA MESH AUTOMATION
Illés Zoltán

 

Márton Hubay

 

Márton Hubay

Co-Founder & CTO
Infinite Lambda (UK)

Moving towards Event-Driven Data Mesh
case study event processing data mesh
Sándor Kazi

 

Sándor Kazi

Data Solution Architect
EPAM Systems (HU)

Machine learning productization in Azure
cloud data engineering computer vision
Péter Tóth

 

Péter Tóth

Product Owner, Continental Autonomous Mobility (HU)

Önvezető autók vezetési funkcióinak adatminőségi kihívásai
CASE STUDY DATA ENGINEERING
László Csite

 

László Csite

Head of Data Tribe
Raiffeisen Bank (HU)

Data lineage a Raiffeisen Banknál
CASE STUDY
Gergő Póta

 

Gergő Póta

Head of Data and Analytics
Supercharge (HU)

Data Platform Modernization at an US Insure-Tech Company

dbt track

Mark Rittman

 

Mark Rittman

Chief Executive Officer
Rittman Analytics (UK)

ChatGPT and the Future of Analytics Engineering
dbt DATA ENGINEERING
Attila Berecz

 

Attila Berecz

DW Consultant
Meta Consulting (HU)

DBT and data model based
design & development
dbt
MEDER KAMALOV

 

MEDER KAMALOV

Software Engineer
Features and Labels (AT)

Unleashing the Power of dbt and Python
DATA ENGINEERING DBT PYTHON
Csaba Elekes

 

Csaba Elekes

Senior Analytics Engineer
Infinite Lambda (HU)

DataOps Journey to an Enterprise Ready dbt Platform
dbt DATA ENGINEERING case study
András Zimmer

 

András Zimmer

Head of Analytics Engineering
Hiflylabs (HU)

Data Access Control with dbt and BigQuery
dbt

More speakers will be announced soon.
The conference also feature a Hungarian-speaking track. The list of Hungarian speakers are available here.

Online Day (Thursday, June 8th)

Arató Bence

 

Arató Bence

Managing Director
BI Consulting (HU)

Developers + AI = Profit?
keynote
Nathan Nowack

 

Nathan Nowack

Software Engineer
Prefect (US)

Building Marvin - a high-level LLM toolbox
data science LLM
DAVID ZIBRICZKY, PH.D.

 

DAVID ZIBRICZKY, PH.D.

Director Data Science
DB Schenker (DE)

Real-time applications of Computer Vision in Logistics
data science computer vision case study
Gergely Daróczi

 

Gergely Daróczi

Co-founder, CTO
Rx Studio (HU)

Personalizing drug doses in the cloud using R
Data Science Case Study R
Tamás Molnár

 

Tamás Molnár

Lead Data Scientist
BT Telecommunications (HU)

Exploiting small and big data for machine learning based incident prevention
Data Science Case Study Telecoms
Máté Tóth

 

Máté Tóth

Lead Data Scientist, VP
BlackRock (HU)

Befektetési alapok kategorizálása NLP eszközökkel
data science NLP Case study
Kristóf Rábay

 

Kristóf Rábay

Senior Data Scientist
Hiflylabs (HU)

AI lehetőségek a szerződéskezelésben
data science NLP case study
Zoltán Balogh

 

Zoltán Balogh

Data Scientist
Hearsay System (HU)

Egy pénzügyi szektor specifikus ajánlórendszer fejlesztésének kihívásai
data science recommenders
Radovan Baćović

 

Radovan Baćović

Staff Data Engineer
GitLab (SR)

The dbt journey @ Gitlab
case study data engineering dbt
Eva Schreyer

 

Eva Schreyer

Lead Data Analyst
WhereIsMyTransport (DE)

How to make your dbt implementation successful
data engineering dbt case study
Pere Miquel Brull

 

Pere Miquel Brull

Founding Engineer
Collate (ES)

What Makes OpenMetadata Different
data engineering
Kevin Kho

 

Kevin Kho

Maintainer
Fugue (US)

How to incrementally scale existing workflows on Spark, Dask or Ray?
data science data engineering tech
Timothy Spann

 

Timothy Spann

Principal Developer Advocate
Cloudera (US)

Building Modern Data Streaming Apps with NiFi, Flink and Kafka
data engineering streaming
Stefan Krawczyk

 

Stefan Krawczyk

Co-creator of Hamilton
Co-founder, DAGWorks (US)

Feature engineering in Python with Hamilton
data science data engineering tech
Ryan Boyd

 

Ryan Boyd

Co-founder
MotherDuck (US)

DuckDB: My laptop is faster than your Data Warehouse
DATA SCIENCE
Dániel Vincz

 

Dániel Vincz

CEO
Mollia (HU)

Kinematic training of robots through video games
DATA SCIENCE

The online day of the Budapest Data Forum and the Budapest ML Forum are held on the same day so the program includes data science and data engineering presentations as well.

Agenda overview

 --->> The detailed Agenda is available here <<---
Monday (June 5) · Tuesday (June 6) · Wednesday (June 7) · Thursday (June 8)

Monday (June 5)

Data+ML
Tutorial day

only in-person

9:00-12:00

Half-day
workshops

13:00-16:00

Half-day
workshops

17:00-20:00
Data Job Fair
(in Hungarian)
Details

Tuesday (June 6)

Budapest ML Forum
conference day

in-person + streaming

9:00-10:10
Plenary

10:40-12:00
Parallel talks

13:30-16:40
Parallel talks

16:40-18:00
Welcome reception

Wednesday (June 7)

Budapest Data Forum
conference day

in-person + streaming

9:00-10:10
Plenary

10:40-12:00
Parallel talks

13:30-16:40
Parallel talks

16:40-18:00
Welcome reception

Thursday (June 8)

Data+ML 
online conference day

only streaming

9:30-10:10
Plenary

10:30-12:30
Parallel talks

14:20-17:00
Parallel talks

18:00-20:00
Data & Drinks Party
in-person at Jégkert

 --->> The detailed Agenda is available here <<---
Monday (June 5) · Tuesday (June 6) · Wednesday (June 7) · Thursday (June 8)

Tickets

Participation in the Tutorial day

The list of tutorials is available here (in Hungarian).

Ticket type First Minute prices
until March 31
Early Bird prices
until April 30
Standard prices
Tutorial day
with data engineering & data science tutorials
June 5 (Monday), in-person
160.0 EUR 160.0 EUR 200.0 EUR
Tickets for the Tutorial day can be purchased on their own and can also be combined with tickets for the conference.

Participation in the conference

Ticket type First Minute prices
until March 31
Early Bird prices
until April 30
Standard prices
2-day hybrid conference ticket 
June 7: in-person, June 8: online
227.5 EUR 260.0 EUR 325.0 EUR
2-day online only conference ticket
June 7-8: online
175.0 EUR 200.0 EUR 250.0 EUR
Data+ML 3-day hybrid conference ticket
June 6-7: in-person, June 8: online
350.0 EUR 400.0 EUR 500.0 EUR
Data+ML 3-day online only conference ticket
June 6-7-8: online
262.5 EUR 300.0 EUR 375.0 EUR
Tickets for the event are available for 2 or 3 conferences days, with the option to attend in-person or online.
Prices are per person and do not include 27% VAT.

More information and the application form are available on our registration page.

Sponsors

Platinum Sponsor

Gold Sponsors

Silver Sponsors

Sponsorship and exhibitor enquiries: office@budapestdata.hu.

Media partners

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