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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.

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Overview

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 21th May. On the two main conference days (22th-23th May) 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!"

 
 

Schedule

  • Tuesday (05.21.)
  • Wednesday (05.22.)
  • Thursday (05.23.)

Workshop day (05.21.)

8:30 – 9:00 Workshop registration
Bevezetés a Big Data technológiákba workshop(in Hungarian)
Data Science bevezető workshop Pythonnal(in Hungarian)
A Deep Learning alapjai workshop(in Hungarian)
Bevezetés a Power BI használatába workshop(in Hungarian)
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 (05.22.)

8:00 – 9:00 Registration
Welcome notes
Arató Bence, BI Consulting Kft.

Big Data Data Science
AI Readiness: Building Organizational Confidence and Literacy around Data
Ali Rebaie, Rebaie Analytics Group
PDF download

Big Data Data Science
Let the Machine Learn in Production
Tőzsér Attila, E.ON Digital
PDF download

10:25-10:55 Coffe break
Data Warehouse
DALIA és DEXTER: Mit rejt a fekete doboz? - Data Lineage és adatmodell-elemzés automatizáltan
(in Hungarian)
Fábián Zoltán, Andrási Bálint, Clarity Consulting Kft.
PDF download

Big Data
Serverless analitika az AWS platformon
(in Hungarian)
Sepsy Károly, TC2
PDF download

Big Data Cloud
From Edge to AI - The new Cloudera Data Platform
Gáspár Balázs, Dévényi Gergely, Cloudera
PDF download

Data Warehouse
Data Warehouse automation at Xerox
Ramesh Panakka, WhereScape
PDF download

12:00-13:30 Lunch
Big Data Cloud
Adat architektúránk evolúciója
(in Hungarian)
Szakács Balázs, IBM Budapest Lab
PDF download

Data Warehouse Case Study Cloud
Felhősítés ködösítés nélkül - Azure elemzési platform üzleti szemmel
(in Hungarian)
Szopkó Dávid, E.ON Hungary
PDF download

Case Study
Több milliárd email kezelése Elasticsearchben
(in Hungarian)
Szalai Róbert, New Wave Media Group Kft.
PDF download

Adattárház Cloud
Snowflake - The Data Warehouse built for the Cloud
Tomas Oravec, Snowflake Computing
PDF download

Data Science
AI in Contemporary Art
Luba Elliott, elluba.com
PDF download

Data Science Big Data
Finding weather and traffic patterns by harnessing the power of GPU analytics
Aaron Williams, Abraham Duplaa, OmniSci
PDF download

15:10-15:40 Coffe break
Case Study
"A jó szomszédságban rejlő lehetőségek" avagy adatelemzés és vizualizáció a Miutcánk(.hu)ban*
(in Hungarian)
Az előadás e-mailben kérhető el

Case Study
Redis és NoSQL a Debreceni Egyetem Informatikai Karán*
(in Hungarian)
Vágner Anikó, Debreceni Egyetem
PDF download

Big Data Case Study
Big Data kerekasztal
(in Hungarian)
Lotar Schin, OTP Bank, Tamás László, Vodafone, Szendrenyi Zsolt, Ericsson, Tóth Máté Ákos, Skyscanner

Big Data
The Top 7 mistakes to avoid using Apache Spark
Tóth Zoltán, Datapao
PDF download

Data Science
Social Targeting in the Telecommunication Industry
Kárpáti András, Lynx Analytics
PDF download

17:00-18:00 Welcome receptions
Standard talks are 30 minutes long, quick talks (denoted with an *) are 15 minutes long. The schedule is subject to change.

Thursday (05.23.)

8:00 – 9:00 Registration
Big Data Data Warehouse
Adattrendek 2019-ben
(in Hungarian)
Arató Bence, BI Consulting Kft.
PDF download

Case Study Data Warehouse
Szubjektív vagy objektív? Adatvezérelt döntések az elektronikus kereskedelemben
(in Hungarian)
Kókai Ferenc, Extreme Digital

10:25-10:55 Coffe break
Big Data Case Study
Real Time Contextual Marketing Cloudera alapokon
(in Hungarian)
Borbély Zsolt, United Consult
PDF download

Data Warehouse Case Study
Pénzügyi adattárház az Aegon biztosítónál - 1 évvel később
(in Hungarian)
Sebestyén Zsolt, BPC

Streaming Big Data
Picking the right streaming tool for the job
Ofir Manor
PDF download

Streaming
Streaming design patterns in Apache Flink
Balassi Márton
PDF download

12:00-13:30 Lunch
Case Study
Open Source és innováció az OTP Bankban
(in Hungarian)
Dankó Zoltán, OTP Bank Nyrt.
PDF download

Case Study
Kis Bank - Komplex Jelentések*
(in Hungarian)
Turján Ildikó, Magnet Bank Zrt.
PDF download

Case Study
HITREG adatellenőrző eszköz*
(in Hungarian)
Török Balázs, BSCE Ltd.
PDF download

Cloud
Machine Learninggel támogatott IT budget tervezés
(in Hungarian)
Barnabás Dóczi, BCS Consulting
PDF download

Streaming Big Data
Evolution of Data Ingestion at Prezi
Krasznai Gergely, Németh Tamás, Prezi
LINK

Data Warehouse Cloud
Building Modern Data Warehouse and BI Solution in Microsoft Cloud
Csom Gergely, Abylon Consulting
PDF download

Cloud
How not to break your data cloud
Tomka Gergely, Simon Péter, Cloudera
PDF download

15:10-15:40 Coffe break
Data Warehouse
A jó, a rossz és a csúf – Tapasztalatok az adattárház automatizációval
(in Hungarian)
Gollnhofer Gábor, Meta Consulting Kft.
PDF download

Machine Learning éles üzemmódban kerekasztal
(in Hungarian)
Tőzsér Attila, E.ON Digital, Kelemen Márton, Magyar Telekom, Pafka Szilárd, Epoch USA

Streaming
Apache Kafka on Kubernetes
Molnár Bálint, Banzai Cloud
PDF download

Case Study
Starting Data At A Startup
Srancsik Tamás, Bitrise
PDF download

16:45-17:00 Welcome receptions
17:00-20:00 Data Career Night and Data Job Fair
Standard talks are 30 minutes long, quick talks (denoted with an *) are 15 minutes long. The schedule is subject to change.
 

Speakers

Keynote session

Case study

Streaming Data

Data warehouse

 

Tickets

jegyek Registration is now open!
Workshop day Tuesday Two days Wednesday and Thursday Three days Tuesday, Wednesday and Thursday
First Minute (until March 18th) 195 EUR 240 EUR 435 EUR
Early Bird (until  April 15th) 195 EUR 300 EUR 495 EUR
Spring Special (until May 10th) 221 EUR 340 EUR 561 EUR
Standard 260 EUR 400 EUR 660 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%). Spring Special! With the coupon code SPRINGSPECIAL you can buy ticket for the conference with 15% discount until 10. May 2019. There is only a limited number of these tickets.
 

Venue

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 89 € 178 € 267 €
Double 99 € 198 € 297 €
The prices above include breakfast, free Wifi and the VAT. For group reservations or any special needs please contact us.
 

News

News

2019-05-27The presentations are available for download
2019-05-03Spring Special discount
2019-05-02Tomas Oravec is coming to Budapest Data Forum
2019-04-18Aaron Williams and Abraham Duplaa are coming to Budapest Data Forum
2019-04-16Srancsik Tamás will be a speaker

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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: