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Budapest Data Forum | June 12-14, 2017

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 14th June. On the two main conference days (15th-16th June) there will be a plenary session in the morning and parallel sessions in the afternoon.

List of speakers
Check out the first group of our speakers here. More talks are coming soon.

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 (06.14.)
  • Wednesday (06.15.)
  • Thursday(06.16.)
Detailedschedule (coming soon!)

Workshop day (06.14.)

8:30 – 9:00 Workshop registration
Streaming technologies workshop (in Hungarian)
Data modeling workshop (in Hungarian)
Big Data in the Cloud workshop (in Hungarian)
MongoDB workshop (in Hungarian)
16:00 End of tutorials

Wednesday (06.15.)

8:00 – 9:00 Registration

Big Data körkép, hazai és külföldi trendek (in Hungarian)
Arató Bence, BI Consulting

Big Data a Magyar Telekomnál (in Hungarian)
Vitárius Gergely, Magyar Telekom

10:30-11:00 Coffee break

Multi-tenant Apache Hadoop
Daniel Schöberle, Cloudera

Best Practices for Big Data Analytics in Hadoop
Prekopcsák Zoltán, RapidMiner

Korszerű felhőalapú analitikai megoldások kórházi környezetben (in Hungarian)
Abronits Péter, Grape Solutions

Amit senki nem mondott el nekem az ETL rendszerekről (in Hungarian)
Németh Tamás, Prezi

12:30-14:00 Lunch

Why Kudu? - Do we need Yet Another Storage System?
Szabó Attila, Cloudera

Destroying Data Silos for Building a Data Driven Bank
Becker Hellmar, ING Bank

Big Data Monetization (in Hungarian)
Boldog Viktor, HP Enterprise

ElasticSearch skálázási tapasztalatok AWS környezetben (in Hungarian)
Boros Béla, EPAM

15:20-15:40 Coffee break

Moving Hadoop from on-premise to Cloud
Sander Kieft, Sanoma

You’ve got two weeks: Proving value quickly with a connected data platform or why you should never discuss cool ideas near your manager
Dan Chaffey, Hortonworks

Real-time big data architektúrák építése Azureban (in Hungarian)
Kővári Attila, BI Projekt Kft.

Álláskeresés az adatok világában - Kerekasztal beszélgetés (in Hungarian)
Moderátor: Arató Bence, BI Cosnulting
Hirsch Éva, Cloudera
Komondi-Máté Zsófia, EPAM

17:00-19:00 Welcome reception

Thursday (06.16.)

8:00 – 9:00 Registration

Spark bevezető (in Hungarian)
Gulyás Máté, Enbrite.ly

Big Data analitika a Telenornál (in Hungarian)
Szücs Imre, Telenor

Big Data a felhők között (in Hungarian)
Molnár Dániel, Microsoft

10:30-11:00 Coffee break

SQL-on-Hadoop for Analytics, Data Warehouse Offloading and Data Integration - What are My Options, What is the Future?
Mark Rittman, RittmanMead

Spark in the Cloud: a practical introduction
Tóth Zoltán, datapao

Spark a lelke mindennek: alkalmazások a Telenornál (in Hungarian)
Liki Norbert, Telenor

Stream adatok kezelése Amazon Kinesis és R segítségével (in Hungarian)
Daróczi Gergely, CARD.com

12:30-14:00 Lunch

BigPetStore on Spark - Implementing use cases on a unified data engine
Balassi Márton, Cloudera

Data-aware execution and visualization in Spark
Zvara Zoltán, Hungarian Academy of Sciences

Gépi tanulás és fejlett analitikai lehetőségek az Azure-ban (in Hungarian)
Dudás Viktor, Microsoft

Microsoft SQL Server 2016 újdonságok (in Hungarian)
Csom Gergely, Microsoft

15:20-15:40 Coffee break

Building a high scale machine learning pipeline with Apache Spark and Kafka
Bedő Dániel, gutefrage.net

War Stories with Apache Spark
Gulyás Máté, enbrite.ly

Stream processing valós idejű analitikához (in Hungarian)
Zsigmond Ádám Olivér, Balabit-Europe

Hogyan legyek Data Scientist? - Kerekasztal beszélgetés (in Hungarian)
Moderátor: Frankó Csuba Dea

18:00-21:00 Data Job Fair and Big Data Meetup
 

Speakers

 

Tickets

jegyek Registration is now open!
Single Day any single day Two days any two days All Inclusive all three days
Early Bird 150 EUR 300 EUR 375 EUR
Standard 200 EUR 400 EUR 500 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%).
 

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 70 € 140 € 280 €
Double 75 € 150 € 225 €
The prices above include breakfast, free Wifi and the VAT. For group reservations or any special needs please contact us.
 

News

News

2015-02-16The Budapest Data Forum 2016 is coming in June

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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: