I/O Extended hybrid meetup Budapest

DT-ITS office’s conference room, Tóth Kálmán u. 2/B, Budapest, 1097

Join us in Budapest in-person or online on June 17th from 3pm (CEST) for an I/O Extended hybrid meetup!

Jun 17, 2022, 1:00 – 3:00 PM


Key Themes

CloudGoogle I/O Extended

About this event

Dear Members,

Join us in-person or online on June 17th 3-5pm (CEST) for an I/O Extended hybrid meetup with exciting talks in topics such as Google Cloud and Big Data! ☁️

Come to the event in-person to build your network and tune into the announcements and discussions with the local community, hands-on learning with Google experts during I/O Extended Budapest!

Or online here: https://dtag.webex.com/dtag-en/j.php?MTID=mab801d5373666227448a7c7f49e1b643

Please be sure to complete your registration on this link, where you can choose to attend online or in-person:


Venue: Budapest, DT-ITS office’s conference room: Mill Park, Tóth Kálmán u. 2/B., and online as well (live streaming)


3:00 PM Google I/O Summary - We will discuss the most important announcements from Google I/O with our expert, Nicolae Ciobanu (Partner Engineer, Google)

3:30 PM Coffee Break, networking

3:45 PM Big Data Challenges: And how Google data platform can help you to solve them - Presentation held byTamás Tőzsér (CTO, Aliz)

4:15 PM Vertex AI - MLOps and more by Dorian Hodorogea (Client Engineer for Data Analytics, Google)

4:45 PM Q&A, networking

Abstract of Big Data Challenges

How can you successfully store, manage, and apply a huge amount of data as a data or computer engineer? We hear a lot that data is the new oil in the nowadays digital economy, and it plays a key role in a company’s ability to thrive how it can leverage data. This is as much a technical challenge as a business one. In this session, Tamás will explain how Google Cloud data platform can help you with that, and what kind of services it offers (i.e. BigQuery, Dataflow, Bigtable).

Abstract of VertexAI

There are more and more discussions around MLOps and the importance of implementing such processes in organizations, however this is the operational area. On the other hand, ML is a creative process and it should be democratized and made as easy as possible to all data users in the organization. The questions that we'll try to cover is: how can we make ML accessible to everyone by maintaining a proper MLOps process in place.

About the Speakers

Tamás Tőzsér - CTO of Aliz

Tamás is a Certified Professional Cloud Architect and Certified Professional Data Engineer. Tamás has extensive knowledge about not just the GCP environment but in general the cloud architecture.

Nicolae Ciobanu - Google (Partner Engineer)

Nicolae works at Google as a Partner Engineer. He is an experienced technical consultant with a demonstrated history of working in the information technology and services industry. He is a skilled technical specialist with good knowledge of Cloud IaaS and PaaS solutions, Business Process, Server and Storage Architecture.

Dorian Camil Hodorogea - Google (Client Engineer)

Dorian is an experienced IT professional with a demonstrated history of working in the computer software industry. Strong sales and technical professional skilled in Reporting, Business Intelligence, Statistics, Data Mining and Financial Performance Management.

Attendance is free of charge

Language: English

See you there!

This is a hybrid event. Join the event virtually or in person at DT-ITS office’s conference room - Tóth Kálmán u. 2/B Budapest, 1097


Deutsche Telekom IT Solutions Hungary (https://www.deutschetelekomitsolutions.hu/)



Friday, June 17, 2022
1:00 PM – 3:00 PM UTC


  • Nicolae Ciobanu


    Partner Engineer

  • Tamás Tőzsér


    Group CTO of Aliz, Certified Professional Cloud Architect, Certified Professional Data Engineer.

  • Dorian Hodorogea


    Client Engineer for Data Analytics


Deutsche Telekom IT Solutions Hungary logo

Deutsche Telekom IT Solutions Hungary


  • Zsigmond P. Toth

    EPAM Systems

    GDG Organizer

  • Kamilla Kerschner

    Deutsche Telekom IT Solutions Hungary


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