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.

Updates

2023-06-16

We have published the conference materials

2023-06-01

The detailed schedule is now available

2023-06-01

Data + Drinks closing party at Jégkert

2023-05-22

Continental will be a Platinum Sponsor of the conference

2023-05-22

Morgan Stanley will be a Silver Sponsor of the conference

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

Chief Analytics Officer
MOL Group (HU)

Data + AI landscape @ MOL

keynote case study

Bill Zhang

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

Accelerate Open Data Lakehouse Implementations with Apache Iceberg

Apache Iceberg Data Lake

Márton Pinczel

Data Quality and Automation Support Lead
Morgan Stanley (HU)

Using AI in Data Quality

Data modeling Data Quality & Observability

GÁBOR GOLLNHOFER

Managing Director
Meta Consulting (HU)

Data platform automatizáció

DATA LAKE DATA MESH AUTOMATION

Illés Zoltán

Head of Data Platform Team
Hiflylabs (HU)

Kihívások és megoldások a Phoenix Pharma adattárházának kialakítása során

Márton Hubay

Co-Founder & CTO
Infinite Lambda (UK)

Moving towards Event-Driven Data Mesh

case study event processing data mesh

Sándor Kazi

Data Solution Architect
EPAM Systems (HU)

Machine learning productization in Azure

cloud data engineering computer vision

Péter Tóth

Product Owner, Continental Autonomous Mobility (HU)

Önvezető autók vezetési funkcióinak adatminőségi kihívásai

CASE STUDY DATA ENGINEERING

László Csite

Head of Data Tribe
Raiffeisen Bank (HU)

Data lineage a Raiffeisen Banknál

DATA GOVERNANCE & METADATA CASE STUDY

Gergő Póta

Head of Data and Analytics
Supercharge (HU)

Data Platform Modernization at an US Insure-Tech Company

dbt track

Mark Rittman

Chief Executive Officer
Rittman Analytics (UK)

ChatGPT and the Future of Analytics Engineering

dbt DATA ENGINEERING

Attila Berecz

DW Consultant
Meta Consulting (HU)

DBT and data model based
design & development

dbt

MEDER KAMALOV

Software Engineer
Features and Labels (AT)

Unleashing the Power of dbt and Python

DATA ENGINEERING DBT PYTHON

Csaba Elekes

Senior Analytics Engineer
Infinite Lambda (HU)

DataOps Journey to an Enterprise Ready dbt Platform

dbt DATA ENGINEERING case study

András Zimmer

Head of Analytics Engineering
Hiflylabs (HU)

Data Access Control with dbt and BigQuery

dbt Data Governance & Metadata

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

Managing Director
BI Consulting (HU)

Developers + AI = Profit?

keynote

Nathan Nowack

Software Engineer
Prefect (US)

Building Marvin - a high-level LLM toolbox

data science LLM

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

Co-founder, CTO
Rx Studio (HU)

Personalizing drug doses in the cloud using R

Data Science Case Study R

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

Lead Data Scientist, VP
BlackRock (HU)

Befektetési alapok kategorizálása NLP eszközökkel

data science NLP Case study

Kristóf Rábay

Senior Data Scientist
Hiflylabs (HU)

AI lehetőségek a szerződéskezelésben

data science NLP case study

Zoltán Balogh

Data Scientist
Hearsay System (HU)

Egy pénzügyi szektor specifikus ajánlórendszer fejlesztésének kihívásai

data science recommenders

Radovan Baćović

Staff Data Engineer
GitLab (SR)

The dbt journey @ Gitlab

case study data engineering dbt

Eva Schreyer

Lead Data Analyst
WhereIsMyTransport (DE)

How to make your dbt implementation successful

data engineering dbt case study

Pere Miquel Brull

Founding Engineer
Collate (ES)

What Makes OpenMetadata Different

data engineering metadata

Kevin Kho

Maintainer
Fugue (US)

How to incrementally scale existing workflows on Spark, Dask or Ray?

data science data engineering tech

Timothy Spann

Principal Developer Advocate
Cloudera (US)

Building Modern Data Streaming Apps with NiFi, Flink and Kafka

data engineering streaming

Stefan Krawczyk

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

Feature engineering in Python with Hamilton

data science data engineering tech

Ryan Boyd

Co-founder
MotherDuck (US)

DuckDB: My laptop is faster than your Data Warehouse

DATA SCIENCE

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.

Media partners

Adatépítész podcast
Spotify • Apple