Magyar

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 with several data-related tracks.

This year the conference will run as a hybrid event, with both online and in-person elements. Read more here.

Our data warehousing track covers the important elements of a modern, agile data data platform: Data modeling, data integration, data transformation, data quality and data governance using either on-premise or cloud-based platforms.

The Big Data and Streaming Data tracks contains tech-focused presentations on architectures, tools and best practices and case studies from end-user companies.

The Data Science track focuses on creating, testing and deploying data science and machine learning models.

The Data-driven business track features talks on how to use data for actual business benefits, create and support a data-driven culture, develop data literacy skill and build a data community

Program tracks

  • Data Warehousing
  • Big Data
  • Streaming
  • NoSQL
  • Data Science
  • Data-driven Business

Schedule

  • Workshop day
  • Conference day 1
  • Conference day 2

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 (09.22.)

9:10-:9:40
Big Data Adattárház
Adattrendek 2020-ban
Arató Bence, BI Consulting Kft

9:40-10:20
Case Study
Cloudera Data Platform a MOL-nál
Kis Zoltán, United Consult
10:20-10:40 Szünet / Break
10:40-11:20
Case Study Big Data
Big Data az OTP Banknál - jelen, múlt, jövő
Lotar Schin, OTP Bank

11:20-12:00
Case Study Data Science
AI innováció a telekom szektorban
Kégl Balázs, Huawei France

10:40-11:40
Adattárház
Snowflake Cloud Data Platform testközelből
Gollnhofer Gábor, Meta Consulting Kft.

Open Session, registration here.

12:00-13:00 Lunch / Break / Office hours
13:00-13:40
Case Study
Nagyvállalati agilis átalakulás az adat világában
Kelemen Márton, Magyar Telekom

13:40-14:20
Case Study Big Data
Neuron: A Vodafone felhőbe költözésének története
Tamás László, Vodafone Hungary

13:00-14:00
Big Data
Building a simple streaming application with Apache Nifi
Daniel Chaffelson, Cloudera

Open Session, registration here.

14:20-14:40 Szünet / Break
14:40-15:20
Case Study
A Prezi új ETL karmestere
Németh Tamás, Prezi

15:20-16:00
Case Study
Adatstratégiai kihívások a Magyar Postánál
Kópházi Attila, Magyar Posta

14:40-15:40
Data Science
Data Science bevezető Cloudera eszközökkel
Purger Norbert, Cloudera

Open Session, registration here.

16:00-17:00 Office hours
A keddi előadások 30 percesek. A programváltozás jogát fenntartjuk / Tuesday talks are 30 minutes long. The schedule is subject to change.

Wednesday (09.23.)

9:00-9:30
Megnyitó - Modern adatplatformok
Arató Bence, BI Consulting Kft.
(in Hungarian)

9:30-10:00

Hungarian track

Adattárház Cloud
Migráció a felhőbe: Automatizált adatalemzés Snowflake alapokon
Csonka Zoltán, Infinite Lambda

10:00-10:30
Adattárház
Adatmérnökök fényben és árnyékban
Molnár Dániel, Pipeline Data Engineer Academy

9:30-10:00

English track

Big Data
What's new in Presto
Wojciech Biela, Starburst Data

10:00-10:30
Big Data
Apache Druid®: under the covers
Peter Marshall, Hellmar Becker, Imply.io

10:30-11:00 Szünet / Break
11:00-11:30
Big Data
Cloudera Big-Data egyszerűen a felhőben
Turoczy Attila, Cloudera

11:30-12:00
Big Data
Big Data valós időben, való életben - tapasztalatok Apache Kylin-nal
Nagy András István, EPAM

11:00-11:30
Streaming
Data Quality Monitoring with Hubble
Oliver Laslett, Hubble

11:30-12:00
Streaming
Dodging the cost of scalability in data analysis
with CPU efficiency

Dr. Hannes Mühleisen, CWI Database Architectures Group

12:00-13:00 Ebéd / Lunch / Office hours
13:00-13:30
Adattárház
Felhőalapú adatplatformok skálázása
Berecz Attila, Meta Consulting Kft.

13:30-14:00
Adattárház
Kulcskérdés-e még a kulcs-kérdés: Mi az adatmodell szerepe a modern adattárházban?
Borsodi Szilárd

14:00-14:30
Adattárház
Klasszikus adattárházak és Big Data: Pro és kontra
Szabó Rozalinda, Noesis Kft

13:00-13:30
Big Data Streaming
Kafka as a Platform: the Ecosystem from the Ground Up
Robin Moffatt, Confluent

13:30-14:00
Big Data Streaming
Streaming Analytics with Flink SQL
Balassi Márton, Cloudera

14:00-14:30
Big Data Streaming
Apache Pulsar, a next-generation streaming engine
Chris Bartholomew, Kesque
14:30-15:00 Szünet / Break
15:00-15:30
Big Data
Data testing and documentation
with Great Expectations

Abe Gong, SuperConductive


15:30-16:00
Big Data
Orchestrating Data Pipelines with Dagster
Max Gasner, Elementl

16:00-16:30
Big Data
On-prem Machine Learning and Analytics with CDP Private Cloud
Hemanth Yamijala, Cloudera

16:30-17:00 Szünet / Break

Metadata SuperSession

Metadata management with Amundsen
Mark Gover, Amundsen

Data lineage and observability with Marquez
Julien Le Dem, Datakin

DataHub: Powering LinkedIn's Metadata
Mars Lan, LinkedIn

Panel Discussion on the state of metadata management

Open Session,Please click this link to join the webinar (Passcode: 169820)

Az előadások 25 percesek. A programváltozás jogát fenntartjuk / Talks are 25 minutes long. The schedule is subject to change.
 

Speakers

Check out our Hungarian speaker lineup here.
 

Tickets

jegyek
The online registration has been closed.
 

News

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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: