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HDF5 In Support of Database Applications

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HDF5 In Support of Database Applications

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There is a growing interest in finding ways to integrate HDF5 with traditional database applications. Some applications have used HDF5 for storing data and metadata associated with a given test, experiment, or simulation, then used a traditional relational database management system for querying about that data. Others use HDF5 itself like a database by storing indexes in HDF5 files along with the data, then implementing a query API to query the data. In this talk, we will present some of the ways that HDF5 has been used in support of database-like operations, and discuss possible future directions for this kind of usage for HDF5.

There is a growing interest in finding ways to integrate HDF5 with traditional database applications. Some applications have used HDF5 for storing data and metadata associated with a given test, experiment, or simulation, then used a traditional relational database management system for querying about that data. Others use HDF5 itself like a database by storing indexes in HDF5 files along with the data, then implementing a query API to query the data. In this talk, we will present some of the ways that HDF5 has been used in support of database-like operations, and discuss possible future directions for this kind of usage for HDF5.

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HDF5 In Support of Database Applications

  1. 1. HDF5 and Databases Three Approaches
  2. 2. I. HDF5 as DB – PyTables
  3. 3. II. HDF5 and RDBMS Side-by-Side Engineering Units DB and HDF-5 File
  4. 4. III. HDF5 and RDBMS Integration Visualization Libraries (MATLAB,…) Web Services (XML, REST, RSS) OLAP and Data Mining Reporting .NET Languages with Language Integrated Query HDF5 EDM model Entity Framework (EDM, eSQL, O-R mapping) SQL Server HDF5 Index HDF5 type HDF5 TVFs HDF5 FS blob HDF5 files

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