The Budapest Data Forum offers three days of talks, discussions and workshops about how organizations manage and use their data. From traditional data warehousing and ETL to cutting-edge Big Data technologies and data science applications, the Forum provides a great opportunity to learn more about data management and analytics.



The Budapest Data Forum is the longest-running vendor-independent data  and analytics conference in Hungary. This year our conference offers 2 main topics areas: Data Warehousing and  Big Data & Data Science.

Conference program The conference starts with a workshop day on the 12th June. On the two main conference days (13th-14th June) there will be a plenary session in the morning and parallel sessions in the afternoon.

Our attendees said

"I have to congratulate you on organizing such an outstanding event. It was professionally held and very informative.”

"Well-organized conference, really enjoyed myself. Budapest is lovely and the atmosphere was great!"



Workshop day (06.12.)

8:30 – 9:00 Workshop registration
12:00 – 13:00 Lunch
16:00 End of tutorials

The workshops run from 9:00 to 16:00. Lunch break is between 12:00 and 13:00. The schedule is subject to change.

Wednesday (06.13.)

8:00 – 9:00 Registration

Bevezető előadás (in Hungarian)
Arató Bence, BI Consulting Kft.

Big Data Case Study

Analytics databases in a startup environment: beyond MySQL and Spark
Daróczi Gergely, System1

Big Data Case Study

Adopting a common big data analytics landscape
Elīna Bergmane, Intrum Global Technologies

10:25-10:55 Coffe break
12:00-13:30 Lunch
Big Data

Global Data Management Platform
Vitor Lundberg, Hortonworks

Big Data

The future of big data is Kubernetes
János Mátyás, Banzai Cloud

Data Science

Predictive Analytics at the Edge
David Dozoul, SAS

Data Science

AI, Machine and Deep Learning - past, present and future aspects
Gyires-Tóth Bálint, BME TMIT

14:35-15:00 Coffe break
Big Data

Presto: SQL-on-Anything
Wojciech Biela, Starburst Data

Big Data Case Study

The Data Janitor returns
Molnár Dániel, Shopify/Oberlo

Data Science

Data Science csapat skálázása az Emarsysnál
Otti Levente, Emarsys

Big Data Data Warehouse

Our Journey on the Google Cloud
Máté Balázs,

16:05-16:30 Coffe break
Hungarian Big Data Cluster Showcase

Magyar Telekom, Telenor, Prezi, IBM Labs, Centrál Média, MOL Group

17:15-18:00 Welcome reception
18:00-21:00 Big Data Meetup

Standard talks are 30 minutes long, quick talks (denoted with an *) are 15 minutes long. The schedule is subject to change.

Thursday (06.14.)

8:00 – 9:00 Registration

Az adatok hatalma - Keynote előadás (in Hungarian)
Arató Bence, BI Consulting Kft.

Data-driven business

GDPR felkészülési tapasztalatok (in Hungarian)
Dr. Jóri András,

10:25-10:55 Coffe break
Big Data Data Warehouse

Experience an Autonomous Future Now
Luis Campos, Oracle

Data Warehouse Case Study

Pénzügyi Adattárház építése az Aegon Biztosítónál (in Hungarian)
Sebestyén Zsolt, BPC

Data-driven business

GDPR megvalósítás adattárház környezetben (in Hungarian)
Hosszu Miklós, Hiflylabs, Kiss Tibor

Data-driven business

GDPR kerekasztal beszélgetés (in Hungarian)

Big Data

Industry 4.0 - War stories from the factory floor
Gulyás Máté, Datapao

Big Data Case Study

Processing Data in Motion with Data Flow
Vitor Lundberg, Hortonworks

12:00-13:30 Lunch
Adattárház Case Study

CIB adattárház(ak)-állandó változásban*(in Hungarian)
Simon Tibor

Adattárház Case Study

Adattárház konszolidáció az Erste Bankban*(in Hungarian)
Németh Attila

Adattárház Case Study

Működő adattárház modellváltása a Raiffeisen Bankban* (in Hungarian)
Csite László


DWH megújítás Big Data eszközkészlettel*(in Hungarian)
Ponori-Thewrewk Ajtony, BCS Consulting

Data-driven business

Fiktív cégek birodalma (in Hungarian)
Kovács Gyula, Andego

Data-driven business

Pénzügyi adatpiac kialakítása a csoportirányítás támogatásához (in Hungarian)
Horváth Márton, OTP Bank

Big Data

What is Apache Kafka, and What is a Streaming Platform?
Robin Moffatt, Confluent

Big Data

GDPR vs Event Sourcing
Nikola Ivancevic, SmartCat

14:35-15:00 Coffe break
Data Warehouse

Modern adattárház Technológiák: Hogyan építsünk adattárházat 2018-ban? (in Hungarian)
Földi Tamás, Starschema

Big Data Data Warehouse

Building a data warehouse using Spark SQL
Ratky Gábor, Secret Sauce Partners Inc.

Big Data

Kudu: Analytics and random access in a single distributed database
Bukor Attila, Cloudera

Data-driven business

Big data/Robo/ AI - beyond the hype
Dévényi Edit, K&H Bank

Data-driven business Data Science

Az adatelemző felelőssége - tapasztalatok a biztosítási analitikában (in Hungarian)
Szabó Dániel, Aegon

Data-driven business

Adattőke és humántőke kerekasztal
Gozlán Illés (OTP Bank) Földi Tamás (Starschema)Békés Gábor (CEU)

16:40-17:00 Welcome reception

Standard talks are 30 minutes long, quick talks (denoted with an *) are 15 minutes long. The schedule is subject to change.





Workshop day Tuesday Single day Wednesday or Thursday Two days Wednesday and Thursday Three days Tuesday, Wednesday and Thursday
First Minute (until 26. March) 200EUR 120 EUR 240 EUR 400 EUR
Early Bird (until 27. April 200EUR 150 EUR 300 EUR 450 EUR
Standard 270 EUR 200 EUR 400 EUR 600 EUR
Our pricing is easy to understand and flexible, allowing you to participate on the exact days you want to, and offering discounted multiple day ticket combinations. The earlier you book, the better rate you get! These prices do not include VAT (27%).


hotel The venue of the Budapest Data Forum is again the 4 star Hotel Mercure Buda.
The participants of  the conference can book rooms at the hotel during the registration process at the following discounted rates:
Room Type One night Two nights Three nights
Single 77 € 154 € 231 €
Double 83 € 166 € 249 €
The prices above include breakfast, free Wifi and the VAT. For group reservations or any special needs please contact us.




How To Reach us

If you would like to get notified when we open the registration, add new speakers, workshop or other interesting stuff, here are your options to stay in touch: