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HDF5 Tag

John Readey, The HDF Group

Editor’s Note: Since this post was written in 2015, The HDF Group has developed HDF Cloud, a new product that addresses the challenges of adapting large scale array-based computing to the cloud and object storage while intelligently handling the full data management life cycle. If this is something that interests you, we’d love to hear from you.

 

Interestingly enough, in addition to being known as the place to go for BBQ and live music, Austin, Texas is a major hub of Python development.  Each year, Austin is host to the annual confab of Python developers known as the SciPy Conference.  Enthought, a local Python-based company, was the major sponsor of the conference and did a great job of organizing the event.  By the way, Enthought is active in Python-based training, and I thought the tutorial sessions I attended were very well done.  If you would like to get some expert training on various aspects of Python, check out their offerings.

As a first-time conference attendee, I found attending the talks and tutorials very informative and entertaining.  The conference’s focus is the set of packages that form the core of the SciPy ecosystem (SciPy, iPython, NumPy, Pandas, Matplotlib, and SymPy) and the ever-increasing number of specialized packages around this core.     

July 30, 2015

Ted Habermann, The HDF Group

“A strong foundation is being built for sharing data and information to create community knowledge and wisdom. This foundation includes HDF5 as the data layer with community conventions and ISO metadata facilitating use and understanding.”

We have experienced so many monumental technological shifts during the last several decades that, like the diurnal cycle of light and dark, the technology life cycle (shown below) is becoming instinctual.

It starts with a new idea, (usually aimed at new customers), that destroys existing organizational expertise and threatens the continued existence of established processes and organizations. These disruptions raise a variety of difficult questions and initiate an Era of Ferment during which established enterprises gauge the impact of the disruption in their worlds and try to adjust. The ferment creates uncertainty, high risk, considerable wasted resources, and no interoperability.

The technology lifecycle

The ferment is ended when the community agrees on a dominant design and works together to make the design work.  Instead of deciding what they are going to do, they work to make what they are going to do better.  

July 16, 2015

HDF Group is hosting a one-day workshop at the upcoming Federation for Earth Science Information Partners (ESIP) Summer Meeting in Asilomar, CA on July 14th. Please join us to learn about new HDF tools, projects and perspectives. There will also be an HDF Town Hall meeting on Wednesday afternoon July 15th...

June 15, 2015

John Readey, The HDF Group   We’ve recently announced a new viewer application for HDF5 files: HDF Compass. In this blog post we’ll explore the motivations for providing this tool, review its features, and speculate a bit about future direction for Compass. HDF Compass is a desktop viewer application for HDF5 and other file formats. A free and open source software product, it runs on Mac OS X, Windows, and Linux.   Compass was initially developed by Andrew Collette, a Research Scientist with IMPACT (Institute for Modeling Plasma, Atmospheres and Cosmic Dust).  He has decided to work with The HDF Group to further the development of Compass. Andrew has written a very interesting blog that goes into some of the background of Compass and...

June 10, 2015

Lindsay Powers - The HDF Group The HDF Group provides free, open-source software that is widely used in government, academia and industry. The goal of The HDF Group is to ensure the sustainable development of HDF (Hierarchical Data Format) technologies and the ongoing accessibility of HDF-stored data because users and organizations have mission-critical systems and archives relying on these technologies. These users and organizations are a critical element of the HDF community and an important source of new and innovative uses of, and sustainability for, the HDF platforms, libraries and tools. We want to create a sustainability model for the open access platforms and libraries that can serve these diverse communities in the future use and preservation of their data. As a...

June 8, 2015

* With Python’s Help

Gerd Heber, The HDF Group

Before the recent release of our PyHexad Excel add-in for HDF5[1], the title might have sounded like the slogan of a global coffee and baked goods chain. That was then. Today, it is an expression of hope for the spreadsheet users who run this country and who either felt neglected by the HDF5 community or who might suffer from a medical condition known as data-bulging workbook stress disorder. In this article, I would like to give you a quick overview of the novel PyHexad therapy and invite you to get involved (after consulting with your doctor).

To access the data in HDF5 files from Excel is a frontrunner among the all-time TOP 10 most frequently asked for features. A spreadsheet tool might be a convenient window into, and user interface for, certain data stored in HDF5 files. Such a tool could help overcome Excel storage and performance limitations, and allow data to be freely “shuttled” between worksheets and HDF5 data containers. PyHexad ([4],[5],[6],[7]) is an attempt to further explore this concept.  

June 2, 2015

Elena Pourmal and Quincey Koziol - The HDF Group UPDATE: Check our support pages for the newest version of  HDF5-1.10.0. Concurrent Access to an HDF5 File: Single Writer / Multiple Reader (SWMR) Virtual Dataset (VDS) Scalable Chunk Indexing Persistent Free Filespace Tracking Collective Metadata I/O Integration of Java HDF5 JNI into HDF5 Many changes have been made to the HDF5 configuration Unfortunately, parallel HDF5 enhancement has been postponed This version contains a fix for an issue which occurred when building HDF5 within the source code directory. Check our downloads page for more information. We are still on target for releasing HDF5-1.10.0 next week, let us know if you have any comments! The HDF Group is committed to meeting our users' needs and expectations for...

May 28, 2015

When storing data, the rich, portable metadata capabilities, including directed graph structures (e.g., hierarchies), complex attributes, and inter-object references make HDF5 a superior choice for maintaining the bond between data and metadata at the lowest level. Community involvement is an essential part of the HDF Group’s mission: It is vital to sustaining the business and is our brain trust when making decisions about changes to HDF5, setting priorities, and adding new features. ...

May 7, 2015

Elena Pourmal, The HDF Group What happened to my compression? One of the most powerful features of HDF5 is the ability to compress or otherwise modify, or “filter,” your data during I/O. By far, the most common user-defined filters are ones that perform data compression.  As you know, there are many compression options. There are filters provided by the HDF5 library (“predefined filters,”) which include several types of filters for data compression, data shuffling and checksum. Users can implement their own “user-defined filters” and employ them with the HDF5 library. [caption id="attachment_10741" align="alignright" width="300"] Cars in a 1973 Philadelphia junkyard – image from National Archives and Records Administration[/caption] While the programming model and usage of the compression filters is straightforward, it is possible for...

April 23, 2015
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