Search results for "Plain text"

showing 5 items of 5 documents

A comparison of HDFS compact data formats: Avro versus Parquet

2017

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 formats and Avro. Article in English. HDFS glaustųjų duomenų formatų palyginimas: Avro prieš Parquet…

Big DataComputer scienceBig dataEnergy Engineering and Power Technology02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreColumn (database)020204 information systemsData query0202 electrical engineering electronic engineering information engineeringHDFSDatabasebusiness.industryPlain textMechanical Engineeringcomputer.file_formatAvroFile formatHiveParquetData formatHadoopBinary data020201 artificial intelligence & image processingbusinesscomputerMokslas – Lietuvos ateitis / Science – Future of Lithuania
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Data-Centric and Multimedia Components

2011

The content of XML documents is often primarily plain text, interspersed with various headers and perhaps some lists and tables. However, there are many applications for which the content of documents is not primarily narrative in nature, but instead includes (portions of) data records that are subject to storage and computational manipulation. The latter documents are sometimes referred to as data-centric or record-like, and they rely extensively on precise descriptions of the forms of data that can appear. In this chapter we first introduce the data type definition capabilities in XML Schema. We then consider the types of data very common in traditional databases: numeric data, dates, and…

Complex data typeMultimediaComputer sciencePlain textcomputer.internet_protocolSubject (documents)computer.file_formatcomputer.software_genreData typeDatabase-centric architectureComputingMethodologies_DOCUMENTANDTEXTPROCESSINGXML schemaGraphicscomputerXMLcomputer.programming_language
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sar: Automatic generation of statistical reports using Stata and Microsoft Word for Windows

2013

The output provided by most Stata commands is plain text not suitable to be presented or published. After the numerical and graphical outputs are obtained, the user has to copy them into a word processor to complete the editing process. Some Stata commands help you to obtain well-formatted output, especially tabulated results in LATEX or other formats, but they are not a complete solution nor are they friendly tools. Stata automatic report (Sar) is an easy-to-use macro for Microsoft Word for Windows that allows a powerful integration between Stata and Word. With Sar, the user can retrieve numerical results and graphs from Stata and automatically insert them into a well-formatted Word docum…

Computer sciencebusiness.industryProgramming languagePlain textWord processingProcess (computing)computer.file_formatcomputer.software_genreAutomationMathematics (miscellaneous)WorkflowSar Stata Automation object report automation Microsoft Word reproducible research Automation OLEData miningMacrobusinesscomputerWord (computer architecture)
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Accelerating data queries on Hadoop framework by using compact data formats

2016

There are massive amounts of data generated from IoT, online transactions, click streams, emails, logs, posts, social networking interactions, sensors, mobile phones and their applications etc. The question is where and how to store these data in order to provide faster data access. Understanding and handling Big Data is a big challenge. The research direction in Big Data projects using Hadoop Technology, MapReduce kind of framework and compact data formats such as RCFile, SequenceFile, ORC, Avro, Parquet shows that only two data formats (Avro and Parquet) support schema evolution and compression in order to utilize less storage space. In this paper, file formats like Avro and Parquet are c…

Distributed databaseDatabasePlain textComputer sciencebusiness.industryBig datacomputer.file_formatcomputer.software_genreFile formatColumn (database)Schema evolutionData accessBinary databusinesscomputer2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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Testing a model for the monitoring of worked-out algebra-problem examples: from behaviours to outcomes on a math task

2021

This study aimed at testing an extension of a theoretical model for the metacognitive monitoring mechanism implied in the detection of inconsistencies when the information provided includes abstract symbols in addition to plain text. Ninety-four postgraduates of STEM specialities were asked to read a worked-out algebra-problem example and to report any incoherence, inconsistency, or error detected in the statement or in the solving procedure. A set of model inspired indexes was defined to describe participants¿ behaviour along the task. The Read & Answer software was used to record online individual processing data and participants¿ reports. Results supported model predictions. Indexes corr…

Social Psychologybehaviour-outcome associationCiències físiquesonline dataTask (project management)Educació ExperiènciesSoftwareBDevelopmental and Educational PsychologyPsychologyAlgebra over a fieldSet (psychology)Reliability (statistics)Statement (computer science)business.industryPlain textPhilosophy. Psychology. ReligionExtension (predicate logic)computer.file_formatBF1-990Algebramonitoring worked-out examplesTecnologiapsychological modelsmath learningbusinesscomputer
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