Kosice in the Cloud Vol. 5

Košice’s tech community is coming together for Vol. 5 of Košice in the Cloud.

Be with us for an evening packed with insights, learning and networking:
Wed, 12 March
17:30
The Aula of the Faculty of Science, UPJS

Data experts from Infinite Lambda and Kiwi.com are going to deliver exciting talks from the realm of data.

Within Vol. 5, you will learn about:

1️⃣ Life after Point-and-Click: Building a Modern Data Stack
Csaba Elekes, Senior Analytics Engineer @ Infinite Lambda

Does your data system look, feel, and act like it was designed 20 years ago? That is probably because it was.

Clunky, slow, and less and less likely to serve the needs of modern data users, it holds back the entire organisation and keeps the data team busy fighting fires.

This talk will focus on:

• Modern data systems: tools and technology;
• Mature analytics workflows: the processes behind the systems.

Join this session to learn about the tools that are changing the game (dbt, Snowflake among others) as well as the practices that help businesses thrive in modern realities.

2️⃣ How Data Governance Can Cure Your Data Headaches
**Kateřina Ščavnická, Engineering Lead & Tech Ambassador @ Kiwi.com**

Are high data costs giving you a headache? Smart data governance can offer a remedy.

In this session, we’ll diagnose the complexities of managing data in the AI era, and see real-world case studies of effective treatment plans. We will also prescribe solutions, such as data contracts and semantic layers, to boost efficiency and enhance data quality.

Treating data as a product and focusing on the essentials, Kateřina will show you how to keep your data management system is perfect health, restore balance, and streamline your data operations.

Moderator: Dominik Simco, Technical Talent Acquisition and Community Expert

ADMISSION
This event is free but seats are limited, so please book yours by RSVP-ing Yes to this event.

VENUE 📍
The Aula of the Faculty of Sciences, UPJS

THIS EVENT IS PERFECT FOR

• Data professionals at all levels;
• Students in the fields of data, engineering, statistics, computer science and similar domains;
• All tech enthusiasts looking to expand their knowledge and network.