Jonathan Striebel
Jonathan is a ML software engineer at Aignostics in Berlin, Germany. He works on machine-learning pipelines for medical image analysis, ensuring scalability and maintainability. Also, he’s an active member of the Zarr community, and one of the authors of the Zarr v3 specification.
Aignostics GmbH
Git*hub|lab – Homepage – Twitter handle –@jostriebel
Session
Zarr is an API and cloud-optimized data storage format for large, N-dimensional, typed arrays, based on an open-source technical specification. In the last 4 years it grew from a Python implementation to a large ecosystem. In this talk, we want to share how this transformation happened and our lessons learned from this journey. Today, Zarr is driven by an active community, defined by an extensible specification, has implementations in C++, C, Java, Javascript, Julia, and Python, and is used across domains such as Geospatial, Bio-imaging, Genomics and other Data Science domains.