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The HDF Server allows producers of complex datasets to share their results with a wide audience base. We used it to develop the Global Fire Emissions Database (GFED) Analysis Tool, a website which guides the user through our dataset. A simple webmap interface allows users to select an area of intere...

HDF Group has just announced “HDF Server” - a freely available service that enables remote access to HDF5 content using a RESTful API. In our scenario, using HDF Server, we upload our Monopoly simulation results to the server and then interested parties can make requests for any desired conten...

When using HDF5 or HSDS you’ve likely benefited (even if you weren’t aware of it) caching features built into the software that can drastically improve performance. HSDS and h5pyd utilize caching to improve performance for service-based applications. In this post, we’ll do a quick review of ho...

Highly Scalable Data Service principal architect John Readey covers an update to the Highly Scalable Data Service. The max request size limit per HTTP request no longer applies with the latest HSDS update. In the new version large requests are streamed back to the client as the bytes are fetched fr...

HSDS (Highly Scalable Data Service) is described as a "containerized" service, but how are these containers organized to create the service?...

Slides and Video are archived below. You can access a full playlist of all videos. Tuesday 31 May 2022 CEST (GMT+2) CDT (GMT‑5) Presentation 9:00-9:45 a.m. 2:00-2:45 a.m. Introduction – Gerd Heber (Video) Keynote – Anders Wallander, head of ITER Controls Division (Slides | Video) 9:4...

What is HDFLab? HDFLab is a JupyterHub/JupyterLab workspace that is managed by The HDF Group. HDFLab enables members of the HDF community to run Python, Julia, and R codes in the cloud just using their browser. When you sign into HDF Lab, you have access to a compute environment that is setup for yo...