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DataCommandr: Column-oriented Data Integration, Transformation and Analysis

Topics: Big Data fundamentals – Services Computing, Techniques, Recommendations and Frameworks; Software Frameworks (MapReduce, Spark etc) and Simulations; SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies; Volume, Velocity, Variety, Veracity and Value

Author: Alexandr Savinov

Affiliation: Bosch Software Innovations GmbH, Germany

ISBN: 978-989-758-183-0

Keyword(s): Big Data, Data Wrangling, Ad-hoc Analytics, Agile Analytics, Column-oriented Representation.

Abstract: In this paper, we describe a novel approach to data integration, transformation and analysis, called DataCommandr. Its main distinguishing feature is that it is based on operations with columns rather than operations with tables in the relational model or operations with cells in spreadsheet applications. This data processing model is free of such typical set operations like join, group-by or map-reduce which are difficult to comprehend and slow at run time. Due to this ability to easily describe rather complex transformations and high performance on analytical workflows, this approach can be viewed as an alternative to existing technologies in the area of ad-hoc and agile data analysis.

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Paper citation in several formats:
Savinov A. (2016). DataCommandr: Column-oriented Data Integration, Transformation and Analysis.In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 339-347. DOI: 10.5220/0005877203390347

@conference{iotbd16,
author={Alexandr Savinov},
title={DataCommandr: Column-oriented Data Integration, Transformation and Analysis},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,},
year={2016},
pages={339-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005877203390347},
isbn={978-989-758-183-0},
}

TY - CONF

JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,
TI - DataCommandr: Column-oriented Data Integration, Transformation and Analysis
SN - 978-989-758-183-0
AU - Savinov A.
PY - 2016
SP - 339
EP - 347
DO - 10.5220/0005877203390347

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