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1

Döring, Markus, and Geoffrey Ower. "The Catalogue of Life Data Package - A new format for exchanging nomenclatural and taxonomic information." Biodiversity Information Science and Standards 3 (August 8, 2019): e38771. https://doi.org/10.3897/biss.3.38771.

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The Catalogue of Life Data Package (COLDP) format was developed to overcome limitations existing in currently used formats for sharing taxonomic information, namely Darwin Core Archives (DwC-A) and the Catalogue of Life (CoL) submission format also known as the Annual Checklist Exchange Format (ACEF). The tabular text based format, strongly influenced by DwC-A and ACEF, was designed to work with the Frictionless Data Package specification, but includes support for other well established formats like BibTeX and CSL-JSON for literature citations. It is the recommended exchange format for data pu
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Finster, Melissa, Maxim Moinat, and Elham Taghizadeh. "ETL: From the German Health Data Lab data formats to the OMOP Common Data Model." PLOS ONE 20, no. 1 (2025): e0311511. https://doi.org/10.1371/journal.pone.0311511.

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Objective The German Health Data Lab is going to provide access to German statutory health insurance claims data ranging from 2009 to the present for research purposes. Due to evolving data formats within the German Health Data Lab, there is a need to standardize this data into a Common Data Model to facilitate collaborative health research and minimize the need for researchers to adapt to multiple data formats. For this purpose we selected transforming the data to the Observational Medical Outcomes Partnership Common Data Model. Methods We developed an Extract, Transform, and Load (ETL) pipel
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John Doyle, D. "Portable data format." Canadian Journal of Anesthesia/Journal canadien d'anesthésie 47, no. 5 (2000): 475–76. http://dx.doi.org/10.1007/bf03018984.

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Velin, Kralev, Kraleva Radoslava, and Koprinkova-Hristova Petia. "Data modelling and data processing generated by human eye movements." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4345–52. https://doi.org/10.11591/ijece.v11i5.pp4345-4352.

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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the te
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Gecášek, Daniel, Michal Solanik, and Ján Genči. "Which Data Format To Store Scientific Data Should I Use? A Performance Analysis." Acta Electrotechnica et Informatica 22, no. 3 (2022): 32–40. http://dx.doi.org/10.2478/aei-2022-0015.

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Abstract A lot of scientific work is dedicated to the analysis of data. Most of the analyzed data, like data from space missions, are structured. The choice of data format can affect various characteristics - read/write speed of standard files, read/write speed of small files and read/write speed of compressed data formats. In this paper, we analyze binary data formats, proposed types of the tests and testing methods, and compare their performance with human-readable text format. We also discuss compressed and uncompressed modes available for data formats like HDF5 and netCDF. When disregardin
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Singh, Shashi Pal, Ajai Kumar, Rachna Awasthi, Neetu Yadav, and Shikha Jain. "Intelligent Bilingual Data Extraction and Rebuilding Using Data Mining for Big Data." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 513–18. http://dx.doi.org/10.1166/jctn.2020.8699.

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In today’s World there exists various source of data in various formats (file formats), different structure, different types and etc. which is a hug collection of unstructured over the internet or social media. This gives rise to categorization of data as unstructured, semi structured and structured data. Data that exist in irregular manner without any particular schema are referred as unstructured data which is very difficult to process as it consists of irregularities and ambiguities. So, we are focused on Intelligent Processing Unit which converts unstructured big data into intelligent mean
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Shameer, M. C. Mohammed, P. P. Abdul Haleem, and Yazik K. Puthenpediyakkal. "A lightweight Data Exchange Format for Mobile Transactions." International Journal of Computer Network and Information Security 15, no. 3 (2013): 47–64. http://dx.doi.org/10.5815/ijcnis.2023.03.04.

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XML and JSON are commonly used data exchange formats that are widely in use in wireless networking environments. The verbose and redundant nature of XML documents incurs huge transportation overheads in data communications. JSON is a data format that reduces the document size; but its scope is confined to text and numeric data. Also due to the reasons such as lack of schema and limited interoperability features, JSON is more suitable for web based applications, compared to wireless or mobile environments. Since the literature reports serious concerns about the performance of existing data exch
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Gröhl, Janek, Lina Hacker, Ben T. Cox, et al. "The IPASC data format: A consensus data format for photoacoustic imaging." Photoacoustics 26 (June 2022): 100339. http://dx.doi.org/10.1016/j.pacs.2022.100339.

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9

Lingala, Arjun Reddy. "Comparison of Table Formats for Data warehouse." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem15425.

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Abstract—Modern data warehouses are developed on dis- tributed file system and object storage that offers scalability, data availability and performance. Table formats define how the data files are organized and stored on the file system. The evolution of data warehousing has given rise to diverse table formats with unique architectures and capabilities aiming at query performance, scalability and storage optimization. Hive table format is the foundational component of Hadoop ecosystem which uses centralized metastore and manual partitioning but the query performance is hindered in cases requi
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10

Kralev, Velin, Radoslava Kraleva, and Petia Koprinkova-Hristova. "Data modelling and data processing generated by human eye movements." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4345. http://dx.doi.org/10.11591/ijece.v11i5.pp4345-4352.

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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the te
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Könnecke, Mark, Frederick A. Akeroyd, Herbert J. Bernstein, et al. "The NeXus data format." Journal of Applied Crystallography 48, no. 1 (2015): 301–5. http://dx.doi.org/10.1107/s1600576714027575.

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NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitio
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Tardy, Randall D., Steve C. Brown, Mo Harmon, and Richard W. Bradshaw. "Engineering and Survey-Exchange Standard Engineering Data Format: Standard Engineering Data Format." Transportation Research Record: Journal of the Transportation Research Board 1675, no. 1 (1999): 75–83. http://dx.doi.org/10.3141/1675-10.

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De Grande, Pablo. "El formato Redatam / The Redatam format." Estudios Demográficos y Urbanos 31, no. 3 (2016): 811. http://dx.doi.org/10.24201/edu.v31i3.15.

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El paquete estadístico Redatam es un software desarrollado por la CEPAL y utilizado ampliamente en los países de América para la difusión de estadísticas censales. Aunque es de uso gratuito, su código no es abierto y la estructura del formato utilizado para alojar la información no es pública. En este artículo se presentan resultados de un trabajo de investigación sobre la estructura de datos de esta herramienta. Entre ellos se destacan: a) una especificación preliminar del formato Redatam, b) la publicación de una herramienta para la exportación de bases de datos Redatam y c) la evidencia res
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Kissler-Patig, M., Y. Copin, P. Ferruit, A. Pécontal-Rousset, and M. M. Roth. "The Euro3D data format: A common FITS data format for integral field spectrographs." Astronomische Nachrichten 325, no. 2 (2004): 159–62. http://dx.doi.org/10.1002/asna.200310200.

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Bennett, Brett. "A computer program to convert SEG-2 data to SEG-Y." GEOPHYSICS 55, no. 9 (1990): 1272–84. http://dx.doi.org/10.1190/1.1442943.

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Recent introduction of the SEG-2 data format to the geophysical community creates compatibility problems with existing seismic data formats. Presented here is a computer program (SEG2SEGY.C) that converts seismic data from SEG-2 format to SEG-Y format. The discussion of the program architecture assumes the reader has a working knowledge of SEG-2, SEG-Y, and C programming language.
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Plase, Daiga, Laila Niedrite, and Romans Taranovs. "A Comparison of HDFS Compact Data Formats: Avro Versus Parquet." Mokslas - Lietuvos ateitis 9, no. 3 (2017): 267–76. http://dx.doi.org/10.3846/mla.2017.1033.

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In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen for the experiments presented in this article. The results show that compact data formats (Avro and Parquet) take up less storage space when compared with plain text data formats because of binary data format and compression advantage. Furthermore, data queries from the column based data format Parquet are faster when compared with text data f
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Kreutzer, Sebastian, Steve Grehl, Michael Höhne, et al. "XLUM: an open data format for exchange and long-term preservation of luminescence data." Geochronology 5, no. 1 (2023): 271–84. http://dx.doi.org/10.5194/gchron-5-271-2023.

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Abstract. The concept of open data has become the modern science meme, and major funding bodies and publishers support open data. On a daily basis, however, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sharing and long-term data preservation. Such issues are often community-specific and best addressed through community-tailored solutions. In Quaternary sciences, luminescence dating is widely used for constraining the timing of event-based processes (e.g. sediment transport). Every luminescence dating study produces a vast bo
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Utama Siahaan, Andysah Putera. "Data Security Techniques Using Square Block Keys in Text Format." International Journal of Research and Review 10, no. 2 (2023): 354–58. http://dx.doi.org/10.52403/ijrr.20230244.

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The text format is a character format that can be read directly with any software. This format is used in sending data to facilitate sending and speed up sending data to message recipients. The text format is the message storage format with he least security because it can be directly read by the person who gets the message. The author wants to build a cryptographic application that can secure text formats using the character transposition technique. Character transposition is used based on the formation of a square matrix which is used as a key in the encryption and decryption process. The si
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Preyaa, Atri. "Efficient Data Transformation on Google Cloud Storage: A Python Library for Converting CSV to Parquet." European Journal of Advances in Engineering and Technology 8, no. 3 (2021): 59–62. https://doi.org/10.5281/zenodo.11408142.

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The ever-growing volume of data in various formats poses significant challenges for storage optimization and efficient analytics in cloud environments. Parquet, a columnar data format, offers substantial advantages over traditional CSV (Comma-Separated Values) files in terms of storage efficiency, query performance, and data compression. This paper explores a Python library, gcs_convert_csv_to_parquet, designed to seamlessly convert CSV files stored in Google Cloud Storage (GCS) buckets to Parquet format. We analyze the library's functionalities, potential use cases, and its impact on data eng
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Cai, Dong Gen, and Tian Rui Zhou. "Research on CAD Model Data Conversion for RP Technology." Advanced Materials Research 314-316 (August 2011): 2253–58. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2253.

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The data processing and conversion plays an important role in RP processes in which the choice of data format determines data processing procedure and method. In this paper, the formats and features of commonly used interface standards such as STL, IGES and STEP are introduced, and the data conversion experiments of CAD models are carried out based on Pro/E system in which the conversion effects of different data formats are compared and analyzed, and the most reasonable data conversion format is proposed.
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Rizzi, Andrea, Giovanni Petrucciani, and Marco Peruzzi. "A further reduction in CMS event data for analysis: the NANOAOD format." EPJ Web of Conferences 214 (2019): 06021. http://dx.doi.org/10.1051/epjconf/201921406021.

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A new event data format has been designed and prototyped by the CMS collaboration to satisfy the needs of a large fraction of physics analyses (at least 50%) with a per event size of order 1 kB. This new format is more than a factor of 20 smaller than the MINIAOD format and contains only top level information typically used in the last steps of the analysis. The talk will review the current analysis strategy from the point of view of event format in CMS (both skims and formats such as RECO, AOD, MINIAOD, NANOAOD) and will describe the design guidelines for the new NANOAOD format.
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Manjo, Taishun, and Alfred Q. R. Baron. "Efficient storage of sparse image data in a human-readable format." Journal of Physics: Conference Series 3010, no. 1 (2025): 012125. https://doi.org/10.1088/1742-6596/3010/1/012125.

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Abstract The modern image formats used in recent position sensitive X-ray detectors are not suited to handling sparse image data, with only a few photons per frame, and then often must store vast amounts of data (~ terabyte), even if the meaningful information is only a few MB. Additionally, many formats are binary and lack human-readability. Here we introduce a straightforward, human-readable format for collecting and storing sparse image data called “sitf” (sparse image text format). This format compresses data without losing information while improving human readability and contributing to
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Wynn, Timothy S., Eric F. Songer, and George A. Hurst. "TELEMETRY DATA MANAGEMENT: A GIS‐BASED APPROACH." Wildlife Society Bulletin 1990, S1 (1990): 144–48. https://doi.org/10.1002/j.2328-5540.1990.tb00193.x.

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Abstract:We developed standard procedures for storing and managing telemetry data on microcomputers to facilitate analysis. Raw location and descriptive data for several wild turkey (Meleagris gallopavo) research projects were entered into microcomputers in a standard file format used by several commercially available database management programs. Computer programs were developed to allow easy transfer of these data between a standard database format and a standard geographic information system (GIS) data exchange format. Researchers analyzed the same data set in both tabular and visually geog
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Krischer, Lion, James Smith, Wenjie Lei, et al. "An Adaptable Seismic Data Format." Geophysical Journal International 207, no. 2 (2016): 1003–11. http://dx.doi.org/10.1093/gji/ggw319.

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Singer, Stephen W., and Curtis L. Meinert. "Format-independent data collection forms." Controlled Clinical Trials 16, no. 6 (1995): 363–76. http://dx.doi.org/10.1016/s0197-2456(95)00016-x.

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Nakajima, Masayuki. "Digital Image Data Format DDES." Journal of the Institute of Television Engineers of Japan 45, no. 11 (1991): 1433–36. http://dx.doi.org/10.3169/itej1978.45.1433.

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Ray, Subhasis, Chaitanya Chintaluri, Upinder S. Bhalla, and Daniel K. Wójcik. "NSDF: Neuroscience Simulation Data Format." Neuroinformatics 14, no. 2 (2015): 147–67. http://dx.doi.org/10.1007/s12021-015-9282-5.

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Imber, M. "CASE Data Interchange Format standards." Information and Software Technology 33, no. 9 (1991): 647–55. http://dx.doi.org/10.1016/0950-5849(91)90038-d.

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Yu, Cong, and Zhihong Yao. "XML-Based DICOM Data Format." Journal of Digital Imaging 23, no. 2 (2009): 192–202. http://dx.doi.org/10.1007/s10278-008-9173-5.

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Arienzo, Alberto, Bruno Aiazzi, Luciano Alparone, and Andrea Garzelli. "Reproducibility of Pansharpening Methods and Quality Indexes versus Data Formats." Remote Sensing 13, no. 21 (2021): 4399. http://dx.doi.org/10.3390/rs13214399.

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In this work, we investigate whether the performance of pansharpening methods depends on their input data format; in the case of spectral radiance, either in its original floating-point format or in an integer-packed fixed-point format. It is theoretically proven and experimentally demonstrated that methods based on multiresolution analysis are unaffected by the data format. Conversely, the format is crucial for methods based on component substitution, unless the intensity component is calculated by means of a multivariate linear regression between the upsampled bands and the lowpass-filtered
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Lukowski, Michael, Andrew Prokhorenkov, and Robert L. Grossman. "Towards self-describing and FAIR bulk formats for biomedical data." PLOS Computational Biology 19, no. 3 (2023): e1010944. http://dx.doi.org/10.1371/journal.pcbi.1010944.

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We introduce a self-describing serialized format for bulk biomedical data called the Portable Format for Biomedical (PFB) data. The Portable Format for Biomedical data is based upon Avro and encapsulates a data model, a data dictionary, the data itself, and pointers to third party controlled vocabularies. In general, each data element in the data dictionary is associated with a third party controlled vocabulary to make it easier for applications to harmonize two or more PFB files. We also introduce an open source software development kit (SDK) called PyPFB for creating, exploring and modifying
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Vitagliano, Gerardo, Mazhar Hameed, Lan Jiang, Lucas Reisener, Eugene Wu, and Felix Naumann. "Pollock: A Data Loading Benchmark." Proceedings of the VLDB Endowment 16, no. 8 (2023): 1870–82. http://dx.doi.org/10.14778/3594512.3594518.

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Any system at play in a data-driven project has a fundamental requirement: the ability to load data. The de-facto standard format to distribute and consume raw data is csv. Yet, the plain text and flexible nature of this format make such files often difficult to parse and correctly load their content, requiring cumbersome data preparation steps. We propose a benchmark to assess the robustness of systems in loading data from non-standard csv formats and with structural inconsistencies. First, we formalize a model to describe the issues that affect real-world files and use it to derive a systema
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Ganachari, Girish. "Impact of FHIR Data Format in Healthcare Interoperability." International Journal of Science and Research (IJSR) 10, no. 12 (2021): 1528–31. http://dx.doi.org/10.21275/sr24731133040.

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Moore, Josh, Chris Allan, Sébastien Besson, et al. "OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies." Nature Methods 18, no. 12 (2021): 1496–98. http://dx.doi.org/10.1038/s41592-021-01326-w.

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AbstractThe rapid pace of innovation in biological imaging and the diversity of its applications have prevented the establishment of a community-agreed standardized data format. We propose that complementing established open formats such as OME-TIFF and HDF5 with a next-generation file format such as Zarr will satisfy the majority of use cases in bioimaging. Critically, a common metadata format used in all these vessels can deliver truly findable, accessible, interoperable and reusable bioimaging data.
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Van Horik, René, and Dirk Roorda. "Migration to Intermediate XML for Electronic Data (MIXED): Repository of Durable File Format Conversions." International Journal of Digital Curation 6, no. 2 (2011): 245–52. http://dx.doi.org/10.2218/ijdc.v6i2.200.

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Data Archiving and Networked Services (DANS), the Dutch scientific data archive for the social sciences and humanities, is engaged in the Migration to Intermediate XML for Electronic Data (MIXED) project to develop open source software that implements the smart migration strategy concerning the long-term archiving of file formats. Smart migration concerns the conversion upon ingest of specific kinds of data formats, such as spreadsheets and databases, to an intermediate XML formatted file. It is assumed that the long-term curation of the XML files is much less problematic than the migration of
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Basani, Maria Anurag Reddy. "Optimizing Cloud Data Storage: Evaluating File Formats for Efficient Data Warehousing." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 922–31. http://dx.doi.org/10.22214/ijraset.2024.64753.

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This paper presents a detailed analysis of three widely-used data storage formats—Parquet, Avro, and ORC— evaluating their performance across key metrics such as query execution, compression efficiency, data skipping, schema evolution, and throughput. Each format offers distinct advantages depending on the nature of the workload. Parquet is optimized for read-heavy analytical queries, providing excellent compression and efficient query performance through its columnar structure. Avro excels in write-heavy, real-time data streaming scenarios, where schema flexibility and backward compatibility
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Evgin, Alexander Aleksandrovich, Mikhail Aleksandrovich Solovev, and Vartan Andronikovich Padaryan. "Model and declarative specification language of binary data formats." Proceedings of the Institute for System Programming of the RAS 33, no. 6 (2021): 27–50. http://dx.doi.org/10.15514/ispras-2021-33(6)-3.

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A number of tasks related to binary data formats include the tasks of parsing, generating and сonjoint code and data analysis. A key element for all of these tasks is a universal data format model. This paper proposes an approach to modeling binary data formats. The described model is expressive enough to specify the most common data formats. The distinctive feature of the model its flexibility in specifying field locations, as well as the ability to describe external fields, which do not resolve into detailed structure during parsing. Implemented infrastructure allows to create and modify a m
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Wibowo, Dwi Kurnia, Agus Darmawan, and Devi Astri Nawangnugraeni. "A COMPARATIVE STUDY OF MULTI-MASTER REPLICATION OF NOSQL DATABASE SERVER WITH VARYING DATA FORMATS." Jurnal Teknik Informatika (Jutif) 6, no. 1 (2025): 411–18. https://doi.org/10.52436/1.jutif.2025.6.1.4371.

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NoSQL Databases are currently an effective solution for managing large data sets distributed across many Servers. NoSQL Database design is usually based on its usability. Specifically related to the system or application to be built. This research aims to measure the Transfer Rate, CPU usage, Memory usage, query execution time for Create, Insert, Delete and remote replication query bandwidth in the Multi-Master Server replication process using two document stored NoSQL Database applications namely CouchBase and CouchDB by entering three different data models namely JSON, XML and CSV. The exper
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Ge, Jiang Hua, Guo An Gao, Ya Ping Wang, and Chang Bao Zhou. "The Design of Software Platform of Data Transformation and Integration Based on J2EE Technology." Applied Mechanics and Materials 10-12 (December 2007): 563–67. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.563.

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It conceived the concept of data whole-life management in the environment of enterprise integration. Facing many different data storage systems and data types, and different storage formats of one kind of data, it designs an extensible and function-open system integration platform based on J2EE technology. Through its intelligent management of data storage system, the system shields the different storage systems from its ultimate users. And through the function models with the functionality of transforming data stored in one format into the one stored in another format deployed onto it, the sy
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Bernhard, Andreas, and Kurniawan Hagi. "How a thief stole your data over network." International Journal of Applied Business and Information Systems 1, no. 2 (2018): 13–18. http://dx.doi.org/10.31763/ijabis.v1i2.4.

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Until now, lot of companies that already have data that is so large and the development of data is so quickly and with the plurality of data formats. Not only in units hundreds of Mega or Giga again but have reached the realm of Tera data countless. Besides the diversity of the data format itself, today not just formatted text but can be video or image as well as the format of other data. With the trend of data continues to grow, sometimes aspect of data security was often overlooked and even ignored.
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Yu, Q., P. Helmholz, D. Belton, and G. West. "Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 335–40. http://dx.doi.org/10.5194/isprsarchives-xl-4-335-2014.

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The automatic reconstruction of 3D buildings has been an important research topic during the last years. In this paper, a novel method is proposed to automatically reconstruct the 3D building models from segmented data based on pre-defined formal grammar and rules. Such segmented data can be extracted e.g. from terrestrial or mobile laser scanning devices. Two steps are considered in detail. The first step is to transform the segmented data into 3D shapes, for instance using the DXF (Drawing Exchange Format) format which is a CAD data file format used for data interchange between AutoCAD and o
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Saleh Aloufi, Khalid. "Generating RDF resources from web open data portals." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1521. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1521-1529.

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<span>Open data are available from various private and public institutions in different resource formats. There are already great number of open data that are published using open data portals, where datasets and resources are mainly presented in tabular or sheet formats. However, such formats have some barriers with application developments and web standards. One of the web recommenced standards for semantic web application is RDF. There are various research efforts have been focused on presenting open data in RDF formats. However, no framework has transformed tabular open data into RDF
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Archana, H. M., Busnur Tejaswini, and Poornima B. Dr. "System Model for Processing on Multi Format of Dataset." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 1908–13. https://doi.org/10.31142/ijtsrd17161.

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The problem associated with Big Data is having following feature are called 3V features volume large amount of data, velocity data processing rate and variety collection of structured data, semi structured data, and unstructured data, the three V's of data that has arrived in unprecedented ways. In the Present years there are many sources of data form, where we obtain variety of data of same domain for processing, when that data become huge to handle we require efficient system to handle that data and to process that data for query prediction or result prediction. The 3V highlights represe
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Schaarschmidt, Jana, James Catmore, Johannes Elmsheuser, et al. "PHYSLITE - A new reduced common data format for ATLAS." EPJ Web of Conferences 295 (2024): 06017. http://dx.doi.org/10.1051/epjconf/202429506017.

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The High Luminosity LHC (HL-LHC) era brings unprecedented computing challenges that call for novel approaches to reduce the amount of real and Monte Carlo-simulated data that is stored, while continuing to support the rich physics program of the ATLAS experiment. With the beginning of LHC Run 3, ATLAS introduced a new common data format, PHYS, that replaces most of the analysis-specific formats that were used in Run 2, and therefore reduces the disk storage significantly. ATLAS also launched the prototype of another common format, PHYSLITE, that is about a third of the size of PHYS. PHYSLITE w
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Yuferov, Anatoliy G. "Infological models of the ENDF-format nuclear data." Nuclear Energy and Technology 5, no. 1 (2019): 53–59. http://dx.doi.org/10.3897/nucet.5.33984.

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Issues involved in the infologic modeling of the ENDF-format nuclear data libraries for the purpose of converting ENDF files into a relational database have been considered. The transfer to a relational format will make it possible to use standard readily available tools for nuclear data processing which simplify the conversion and operation of this data array. Infological models have been described using formulas of the “Entity (List of Attributes)” type. The proposed infological formulas are based on the physical nature of data and theoretical relations. This eliminates the need for a specia
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Yuferov, Anatoliy G. "Infological models of the ENDF-format nuclear data." Nuclear Energy and Technology 5, no. (1) (2019): 53–59. https://doi.org/10.3897/nucet.5.33984.

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Issues involved in the infologic modeling of the ENDF-format nuclear data libraries for the purpose of converting ENDF files into a relational database have been considered. The transfer to a relational format will make it possible to use standard readily available tools for nuclear data processing which simplify the conversion and operation of this data array. Infological models have been described using formulas of the "Entity (List of Attributes)" type. The proposed infological formulas are based on the physical nature of data and theoretical relations. This eliminates the need for a specia
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47

Lamer, Antoine, Chloé Saint-Dizier, Nicolas Paris, and Emmanuel Chazard. "Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline." JMIR Medical Informatics 12 (July 17, 2024): e54590-e54590. http://dx.doi.org/10.2196/54590.

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Abstract The growing adoption and use of health information technology has generated a wealth of clinical data in electronic format, offering opportunities for data reuse beyond direct patient care. However, as data are distributed across multiple software, it becomes challenging to cross-reference information between sources due to differences in formats, vocabularies, and technologies and the absence of common identifiers among software. To address these challenges, hospitals have adopted data warehouses to consolidate and standardize these data for research. Additionally, as a complement or
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Ferguson, J. Scott, and Daniel A. Chayes. "A generic swath‐mapping data format." Marine Geodesy 15, no. 2-3 (1992): 129–40. http://dx.doi.org/10.1080/01490419209388049.

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Ho, Wei-hsin, and Ge-wen Lee. "Geographic Data Exchange Format in Taiwan." Journal of Surveying Engineering 122, no. 3 (1996): 114–31. http://dx.doi.org/10.1061/(asce)0733-9453(1996)122:3(114).

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Nyberg, Karl. "Parsing hierarchical data format (HDF) files." ACM SIGAda Ada Letters 30, no. 2 (2010): 19–24. http://dx.doi.org/10.1145/2593988.2593990.

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