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UID:pretalx-scipy-2026-U7SRHU@pretalx.com
DTSTART;TZID=CST:20260717T143500
DTEND;TZID=CST:20260717T150500
DESCRIPTION:Tiled is a full-fledged data management service designed specif
 ically to help scientists store\, find\, and access scientific data at sca
 le easily. \n\n \n\nThe concept of data structures is the cornerstone of T
 iled\; it allows us to abstract the inherent diversity of various file for
 mats and data storage types to a handful of scientifically meaningful repr
 esentations: arrays\, tables\, nested hierarchies\, and even awkward\, rag
 ged\, and sparse arrays. Tiled provides a consistent API to such disparate
  datasets and naturally integrates with the SciPy ecosystem\, including Nu
 mPy\, pandas\, xarray\, Dask\, and more. The users can slice\, convert\, a
 nd retrieve only the data they need\, or even subscribe to live streams fr
 om external instruments and send updates to a dashboard. Importantly\, Til
 ed supports operations with rich metadata – including search – making 
 the data registered in Tiled discoverable and interactable with minimal ov
 erhead\, by the human users and AI agents alike. Tiled runs equally well o
 n a private laptop or in a large facility’s data center. Its built-in au
 thentication and authorization mechanisms make the data access controllabl
 e and secure. Finally\, Tiled is a fully open-source project developed und
 er a multi-institutional governance model\, which reflects our commitment 
 to open science and the FAIR principles in scientific computing. \n\n \n\n
 In this talk we will introduce Tiled’s architecture\, demonstrate its mo
 st popular use cases using the native Python client\, discuss deployment a
 nd integration strategies\, and show how it can simplify practical scienti
 fic data workflows.
DTSTAMP:20260715T022753Z
LOCATION:Johnson Great Room
SUMMARY:Remote Access to Scientific Data with Tiled - Yevgen Matviychuk
URL:https://pretalx.com/scipy-2026/talk/U7SRHU/
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