Dear Members,

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

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

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

About the Speakers and Talks:

Nicolae Ciobanu 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 Processes, Server and Storage Architecture.

Tamás Tőzsér, CTO of Aliz. He 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. He will present the Big Data Challenges talk, 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 the Google Cloud data platform can help you with that, and what kind of services it offers (i.e. BigQuery, Dataflow, Bigtable).

Dorian Camil Hodorogea is a Client Engineer at Google and 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. He will present the VertexAI talk. 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 for all data users in the organization. The questions that we'll try to cover are: how can we make ML accessible to everyone by maintaining a proper MLOps process in place.

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

Partner

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