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How to design a data platform to succeed at scale?

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10:35 - 10:55, 28th of May (Wednesday) 2025 / DEV TRENDS STAGE

In this session we will share our way to layer a stable foundation to bootstrap analytics initiatives at scale. With the multi-year experience on how to operate a cloud native analytics stack on premise to facilitate our business users needs, we embarked on the journey to open the world of new capabilities available in the public cloud. ING DAP has chosen Google Cloud with its rich set of analytics services with key elements like the Gemini family of LLM models and a powerful analytics service BigQuery. Platform foundation is still a valid concept that can speed up time-to-market, abstracting away the tedious repeating tasks while maintaining organizational and industry standards based practices with emphasize on security.

LEVEL:
Basic Advanced Expert
TRACK:
Data DevOps Software Architecture
TOPICS:
Bigdata DevOps ITarchitecture

Krzysztof Adamski

ING Hubs Poland