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BEGIN:VEVENT
DTSTAMP:20211207T055403Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211116T083000
DTEND;TZID=America/Chicago:20211116T170000
UID:submissions.supercomputing.org_SC21_sess278_rpost151@linklings.com
SUMMARY:HDF5 VOL Connector to Apache Arrow
DESCRIPTION:Posters, Research Posters\n\nHDF5 VOL Connector to Apache Arro
 w\n\nYe, Kougkas, Sun\n\nApache Arrow is widely used in Big Data Analysis 
 and Cloud Computing Area because of its standardized in-memory column form
 at. It is a columnar, in-memory data representation that enables analytica
 l systems and data sources to exchange and process data in real-time. It c
 ould create an in-memory column store that can be used to manage streamed 
 data. Most science applications store and access their data through HDF5. 
 However, HDF5 is inefficient in accessing column-oriented data streams. Ac
 cessing Apache Arrow data through HDF5 calls would allow applications to t
 ake advantage of these transient, column-oriented data streams, such as re
 al-time data from high-speed scientific instruments and cameras. Moreover,
  bridging the gap between science applications and analytic tools that use
  HDF5 and Apache Arrow data could bring new kinds of data together. Theref
 ore, this work introduces an HDF5 VOL connector that allows applications t
 o access Apache Arrow data through native HDF5 calls.\n\nRegistration Cate
 gory: Tech Program Reg Pass, Exhibit Hall Only
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