Google Cloud Platform meetup #1
Details
Join us at the first GCP meetup, where Norbert Liki (Aliz) is gonna talk about Jupyter Notebook and Google Cloud, and Adam Balogh (Emarsys) will show you how to get started with ingesting data in BigQuery.
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☁️ The first Google Cloud Platform meetup in Budapest!
🍕 We’re looking forward to seeing you – two cool presentations, pizza and snacks are on us.
🐶 Dog friendly venue.
⌚️ You can arrive from 18:00, we will start at 18:30.
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Speaker 1 - Liki Norbert (Aliz Tech)
As a Data Science Architect at Aliz, Norbert is designing and implementing machine learning solutions for Aliz’s customers in Europe and in Asia. Previously he took part in establishing the Big Data and Data Science competencies within Telenor Hungary and acted as the leader of this data team.
Jupyter Notebook supercharged on Google Cloud
Jupyter Notebook is an essential part of many data scientists' work. But as easy as it is to get started with notebooks, it's more difficult to maintain them in the long term.
During my presentation I will show you how Google Cloud boosts efficiency when working with notebooks, starting from environment creation to scaling, running the optimization, and using notebooks in deployment as part of a CI/CD pipeline.
Speaker 2 - Adam Balogh (Emarsys)
Adam started work as a Data Scientist at Emarsys, but found himself leading a Data Engineering team after the company decided to move its data infrastructure to the Google Cloud Platform. In this role, he works on creating solutions and concepts which ensure that data is available for other services within Emarsys in the right format, at the right scale, and at the right time.
The simplest way ingesting your data into BigQuery
When it comes to storing and using large datasets, BigQuery is a must-have component of the Google Cloud Platform. It provides efficient and cost-effective solutions for handling petabytes of data behind a standard SQL interface. In my talk, I will show you how to get started with ingesting and transforming data in BigQuery in a very simple, serverless way, and provide you some example use cases from Emarsys.