HSDS (Highly Scalable Data Service) is a REST-based service for reading and writing HDF data. Initially developed as a NASA Access 2015 project, the HDF Group has continued to invest in the project, and as we’ll see, the latest version has a bevy of new and interesting features.
A recording of the webinar on the Highly Scalable Data Service (HSDS) and the demo of Kita Lab is now available, in addition to a transcript of the question and answer session.
The HDF5 European workshop, co-organized with ESRF, and sponsored by OpenIO and Omnibond took place on September 17-18, 2019. This event covered the latest HDF5 developments, HDF5 use cases from science and industry, and HDF5 Applications and Tools. This post is an archive of the recorded presentations of this event.
Damaris is a middleware that enriches existing HPC data format libraries (e.g. HDF5) with data aggregation and asynchronous data management capabilities. At the same time, it can be employed for in situ analysis and visualization purposes.
By Francesc Alted. He is a freelance consultant and developing author of different open source libraries like PyTables, Blosc, bcolz and numexpr and an experienced programmer in Python and C. Francesc collaborates regularly with the The HDF Group in different projects. We explain our solution for handling big data streams using HDF5 (with a little help
HDFql offers a language similar to SQL for HDF5. By providing a simpler/cleaner interface, HDFql aims to ease scientific computing and big data management.
MuQun (Kent) Yang, The HDF Group Many NASA HDF and HDF5 data products can be visualized via the Hyrax OPeNDAP server through Hyrax’s HDF4 and HDF5 handlers. Now we’ve enhanced the HDF5 OPeNDAP handler so that SMAP level 1, level 3 and level 4 products can be displayed properly using popular visualization tools. Organizations in
HDF Server is a new product from The HDF Group which enables HDF5 resources to be accessed and modified using Hypertext Transfer Protocol (HTTP). The newest version of HDF Server provides exciting capabilities for accessing data in an easy and secure way.
We are currently planning for a Q2 2016 release of the product. In the meantime, we are working with a few early adopters on finalizing the initial feature set. If you have additional questions about HDF5/ODBC, or if you would like to become an early adopter, please contact us
John Readey, The HDF Group We’re pleased to announce that The HDF Group is now a member of the Open Commons Consortium (formerly Open Cloud Consortium), a not for profit that manages and operates cloud computing and data commons infrastructure to support scientific, medical, health care and environmental research. The HDF Group will be participating
