DataCommandr: Column-oriented Data Integration, Transformation and Analysis

Alexandr Savinov

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

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

In Proceedings of the International Conference on Internet of Things and Big Data IoTBD - Volume 1, 339-347, 2016 , Rome, Italy

Author: Alexandr Savinov

Affiliation: Bosch Software Innovations GmbH, Germany

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.143.168.172

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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 - IoTBD; ISBN 978-989-758-183-0, SciTePress, 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 - 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 - 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
PB - SciTePress