Study on Big Data as Complementary Economic Data and Information

Catalog Number	:	9101013
Publication Number	:	07340.2003
ISSN/ISBN	:	978-602-438-384-8
Publishing Frequency	:	Ad Hoc
Release Date	:	December 21, 2020
Language	:	Indonesian
File Size	:	27.75 MB

Abstract

Big data is generally defined as data with high Volume, Velocity , and Variety (3V characteristics). Therefore big data is a challenge especially for the National Statistics Offices (NSO). As NSO, BPS - Statistics Indonesia is committed to continuing to publish quality statistical products and has started various studies related to big data to support official statistical products. This paper examines big data as an alternative to complement economic data and information

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