Modern Data Stack: Choose Suffer Love
Toloka.AI
About speaker
More than 10 years of experience in the IT field, architect of data warehouses and analysis systems at Mail.ru group, Yandex Go, Toloka.AI. PhD in Technical Sciences, author of more than 10 papers in the field of data analysis, co-author of a book about the theory and practice of parallel database analysis.
About speakers's company
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Abstracts
Data Lakehouse, Data Mesh, Data Fabric are loud sounding terms in the Data World. But what if the desire to “implement hype tech” suddenly turns into reality? Be afraid of your desires, because that’s exactly happened at Toloka.AI — the data platform team was given the task: ”Azure. Modern Data Stack. Tomorrow.”
As part of our talk, we will go through all the stages of our work with Modern Data Stack — choose, suffer, love — and answer following questions:
* What is a modern data platform and on what pillars does it rest?
* How not to drown in the world of Modern Data Stack solutions?
* What issues of different systems integration can you encounter?
* Which tools (of those that we have tried) are must-have, and which ones can we try to replace?
* How has the work of analysts changed (and has it changed)?
* What is worth repeating and what is not worth repeating if you follow the same path?
The Program Committee has not yet taken a decision on this talk
