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The Budapest Data Forum in Hungary will return in June 5-8, 2023.
The conference will be organized in a hybrid format, co-hosted with the Budapest ML Forum. The Tutorial day (June 5), and the conference day (June 7) is planned to be attended in-person, while the last day (June 8) will be held online.
More details on the website.

About the conference

The Budapest Data Forum is an international data architecture and data engineering conference in its 14th year, now in hybrid format.

Our venue

The in-person part of the conference on June 14 will be hosted by the Hotel Mercure Budapest Castle Hill.

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.

Cloud data
warehouses

Data architectures
& modeling

Data warehouse
automation

Data Integration,
ETL, Reverse ETL

Data Quality
& Observability

Graph & Time Series
databases

Data Governance
& Metadata

Stream processing
& analytics

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 streaming only with 100% remote talks.

Agenda overview

Monday (June 13)
Tutorial day
in-person

9:00-12:00

Tutorial 1

Tutorial 2

13:00-16:00

Tutorial 3

Tutorial 4

9:00-12:00

Tutorial 1

Tutorial 2

13:00-16:00

Tutorial 3

Tutorial 4

Tuesday (June 14)
First day of the conference
in-person + streaming

9:00-10:15

Plenary

10:45-12:00

Track 1 presentations

13:30-16:30

Track 1 presentations

10:45-12:00

Track 2 presentations

13:30-16:30

Track 2 presentations

Wednesday (June 15)
Second day of the conference
online only

9:00-10:00

Plenary

10:30-12:10

Track 1 presentations

13:30-16:00

Track 1 presentations

10:30-12:10

Track 2 presentations

13:30-16:00

Track 2 presentations

Detailed agenda

Tuesday (June 14)
in-person + streaming
9:00-9:20Opening Session (in Hungarian only)
9:30-10:10Alapítástól eladásig: a Starschema story

Földi Tamás, Starschema

Keynote
10:15-10:45Coffee break
10:45-11:15Data Observability Monte Carlo-val – miért, mit, hogyan?

Nagy András István, EPAM

Case Study Data Quality
11:20-11:50Data Governance - Hogyan és miért alakítsunk ki etikus adat-környezetet?

Pinczel Márton Antal, Morgan Stanley

Case Study Metadata
10:45-11:15Felhős adatplatformok: költség-haszon-megtérülés

Gollnhofer Gábor, Meta Consulting

Data Platforms Data Engineering
11:20-11:50Agilis adattárházak startup környezetben

Csonka Zoltán, Infinite Lambda

Case Study Data Engineering
12:00-13:30Lunch
13:30-14:00Dinamikus árazás az adattárházban

Csikós Dávid, Data-Driven Solutions, és Nagy Ádám, Nádudvari Élelmiszer

Case study
13:30-14:00Sleep better with dbt and data warehouse testing

Sean McIntyre, dbt Labs

Data quality
14:05-14:35Use cases for a high performance OLAP engine-as-a-Service

Hellmar Becker, Imply

Database
14:40-15:10Coffee break
15:10-15:40Apache Iceberg

Váry Péter, Cloudera

Data platform Data engineering
15:45-16:15Delta Lake és Delta Sharing

Greilich Imre, Datapao

Data platform Data engineering
16:30-17:30Welcome Reception
18:00-20:00Budapest Data Open Night and Data Career Forum (in Hungarian )
Wednesday (June 15)
Online only

9:00-10:00 Plenary

Adattechnológiai trendek 2022-ben Arató Bence

10:00-10:30Coffee break
10:30-11:00QL streaming lehetőségek Apache Flink alapokon

Csáky Ferenc, Cloudera

Data Platform Streaming
11:05-11:35The proactive data catalog

Haller Bálint, Stemma

metadata
11:40-12:10Why Argo is different from the others?

Riccardo Mocchetti, Infinite Lambda

Data platform Workflow
10:30-11:00How to agree to disagree on Data Solution Automation

Roelant Vos, Varigence

Data Modeling
11:05-11:35A matter of time

Dirk Lerner, TEDAMOH

Data modeling
11:40-12:10Data Modeling with the Unified Star Schema

Francesco Puppini, Francesco Puppini Consulting

Data modeling
12:10-13:30Lunch
13:30-14:00Document Graphs for the Data Mesh

Gavin Mendel-Gleason, TerminusDB

14:05-14:35GPU-accelerated graph analytics in LynxKite

Darabos Dániel, LynxKite

Graph Data Science
14:40-15:10Orchestrating Data Pipelines with Prefect

Kevin Kho, Prefect

Data Platform Workflow
13:30-14:00Unified Messaging and Data Streaming 101

Timothy Spann, StreamNative

Data platform Streaming
14:05-14:35RisingWave: A Distributed SQL Streaming Database Designed for the Cloud

Yingjun Wu, Singularity Data

Data platform Streaming
15:10-15:30Coffee break

15:10-16:00
Closing plenary

The Future of Data Engineering
Interactive roundtable on the challenges facing present and future data engineers
Arató Bence, BI Consulting · Németh Tamás, Acryl Data · Gollnhofer Gábor, Meta Consulting

We reserve the right to make program changes.

Speakers

English Speakers

Sean McIntyre

 

Sean McIntyre

Senior Solutions Architect, dbt Labs

Sleep better with dbt
and data warehouse testing
Timothy Spann

 

Timothy Spann

Developer Advocate, StreamNative

Unified Messaging and
Data Streaming 101
Kevin Kho

 

Kevin Kho

Community Engineer, Prefect

Orchestrating Data Pipelines with Prefect
Dirk Lerner

 

Dirk Lerner

Managing Director, TEDAMOH

A matter of time
Gavin Mendel-Gleason

 

Gavin Mendel-Gleason

Chief Technology Officer, TerminusDB

Document Graphs for the Data Mesh
Roelant Vos

 

Roelant Vos

Principal Data Solutions Architect, Varigence

How to agree to disagree on Data Solution Automation
Francesco Puppini

 

Francesco Puppini

BI Consultant,
Francesco Puppini Consulting

Data Modeling with the Unified Star Schema
Darabos Dániel

 

Darabos Dániel

Chief Software Architect, LynxKite

GPU-accelerated graph analytics in LynxKite
Riccardo Mocchetti

 

Riccardo Mocchetti

Data Engineering Chapter Lead,
Infinite Lambda

Why Argo is different from the others?
Haller Bálint

 

Haller Bálint

Senior Data/Software Engineer, Stemma

The proactive data catalog

Hungarian Speakers

Arató Bence

 

Arató Bence

Managing Director, BI Consulting

Adatplatformok konvergenciája
Gollnhofer Gábor

 

Gollnhofer Gábor

Ügyvezető, Meta Consulting

Felhős adatplatformok: költség-haszon-megtérülés
Csáky Ferenc

 

Csáky Ferenc

Lead Manager, Cloudera

SQL streaming lehetőségek Apache Flink alapokon
Váry Péter

 

Váry Péter

Engineer, Cloudera

Apache Iceberg
Csikós Dávid

 

Csikós Dávid

Managing Director, Data-Driven Solutions

Dinamikus árazás az adattárházban
Szántó Csongor

 

Szántó Csongor

Deep Learning Data Engineer, Continental

Adatfeldolgozó eljárások hatékony skálázása a vezetéstámogató rendszerekben
Németh Tamás

 

Németh Tamás

Software Engineer, Acryl Data

Útikalauz a data discovery világába
Földi Tamás

 

Földi Tamás

Managing Director, Starschema

Alapítástól eladásig: a Starschema story
Csonka Zoltán

 

Csonka Zoltán

Staff Engineer, Infinite Lambda

Agilis adattárházak startup környezetben
Greilich Imre

 

Greilich Imre

Data Engineer, Datapao

Delta Lake és Delta Sharing
NAGY ANDRÁS ISTVÁN

 

NAGY ANDRÁS ISTVÁN

Data Solution Architect, EPAM

Data Observability Monte Carlo-val - miért, mit, hogyan?
Pinczel Márton Antal

 

Pinczel Márton Antal

Lead of Talent Development Operations and Reporting, Morgan Stanley

Data Governance – Hogyan és miért alakítsunk ki etikus adat-környezetet?
Horváth Márton

 

Horváth Márton

Data Management and Technology Lead, Nextwit

Adatmodellezési kihívások egy globális tartalomszolgáltató platform cseréjénél

Registration

The registration form is now live!

The first day of the conference is held in-person in Budapest (all talks will be streamed online),
the second day of the conference will be exclusively online.

For registering Hungarian-speaking attendees please see our Hungarian page.

If you would like to register as a foreign participant, please contact us at regisztracio@budapestdata.hu

Our sponsors

Diamond Sponsor

Gold Sponsors

Silver Sponsors

 

Academic Partners

Corvinus University of Budapest
Institute of Information Technology

Central European University
Department of
Economics and Business

ELTE
Faculty of Social Sciences
Department of Statistics