Migrate one-pager content & add youtube video

Author: joshmoore

index.md

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+Zarr is a container for dense ND-dimensional array data, motivated by the need for a simple, transparent, open, and community-driven format that supports high-throughput distributed I/O on different storage systems.
+
+Zarr data can be stored in any storage system that can be represented as a key-value store, including most commonly POSIX file systems and cloud object storage but also zip files as well as relational and document databases.
+
+## Applications
+
+* Simple and fast serialization of NumPy-like arrays, accessible from languages including Python, C, C++, Rust, Javascript and Java
+* Multi-scale n-dimensional image storage, e.g. in light and electron microscopy
+* Geospatial rasters, e.g. following the NetCDF / CF metadata conventions
+
+## Features
+
+* Chunk multi-dimensional arrays along any dimension.
+* Store arrays in memory, on disk, inside a Zip file, on S3, etc.
+* Read and write arrays concurrently from multiple threads or processes.
+* Organize arrays into hierarchies via annotatable groups.
+
+Zarr is a Sponsored Project of NumFOCUS, a US 501(c)(3) public charity.
+
+NumFOCUS Sponsored Projects rely on the generous support of corporate sponsors, institutional partners, and individual donors.
+
+<iframe allowfullscreen="allowfullscreen" src="http://www.youtube.com/embed/qyJXBlrdzBs?color=white&theme=light"> </iframe>