BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX

The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the study - the process of calculating the CPI base...

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Autor principal:	A. Mikhajlova
Formato:	article
Lenguaje:	RU
Publicado:	Publishing House of the State University of Management 2018
Materias:	big data togaf consumer price index hadoop business and it architecture Sociology (General) HM401-1281 Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/a4d4875d11d0492da7e9afb6d5a3c9b7
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spelling	oai:doaj.org-article:a4d4875d11d0492da7e9afb6d5a3c9b72021-12-03T07:43:25ZBIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX1816-42772686-841510.26425/1816-4277-2018-4-110-113https://doaj.org/article/a4d4875d11d0492da7e9afb6d5a3c9b72018-04-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1005https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the study - the process of calculating the CPI based on data coming to the ROSSTAT. The purpose of the study is to develop recommendations on the application of Big Data in the statistics of consumer prices. The business and information technology (IT) architecture of the ROSSTAT were developed with the help of the step-by-step instruction for the development of architecture TOGAF (The Open Group Architecture Framework).A. MikhajlovaPublishing House of the State University of Managementarticlebig datatogafconsumer price indexbig datahadooptogafbusiness and it architectureSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 4, Pp 110-113 (2018)
institution	DOAJ
collection	DOAJ
language	RU
topic	big data togaf consumer price index big data hadoop togaf business and it architecture Sociology (General) HM401-1281 Economics as a science HB71-74
spellingShingle	big data togaf consumer price index big data hadoop togaf business and it architecture Sociology (General) HM401-1281 Economics as a science HB71-74 A. Mikhajlova BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
description	The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the study - the process of calculating the CPI based on data coming to the ROSSTAT. The purpose of the study is to develop recommendations on the application of Big Data in the statistics of consumer prices. The business and information technology (IT) architecture of the ROSSTAT were developed with the help of the step-by-step instruction for the development of architecture TOGAF (The Open Group Architecture Framework).
format	article
author	A. Mikhajlova
author_facet	A. Mikhajlova
author_sort	A. Mikhajlova
title	BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
title_short	BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
title_full	BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
title_fullStr	BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
title_full_unstemmed	BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
title_sort	big data: how can information technologies help the statistics service to increase efficiency of calculation of the consumer price index
publisher	Publishing House of the State University of Management
publishDate	2018
url	https://doaj.org/article/a4d4875d11d0492da7e9afb6d5a3c9b7
work_keys_str_mv	AT amikhajlova bigdatahowcaninformationtechnologieshelpthestatisticsservicetoincreaseefficiencyofcalculationoftheconsumerpriceindex
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BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX

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