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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Main Author: A. Mikhajlova
Format: Article
Language:English
Published: Publishing House of the State University of Management 2018-04-01
Series:Вестник университета
Subjects:
Online Access:https://vestnik.guu.ru/jour/article/view/1005
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author A. Mikhajlova
author_facet A. Mikhajlova
author_sort A. Mikhajlova
collection DOAJ
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).
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spelling doaj.art-a4d4875d11d0492da7e9afb6d5a3c9b72025-02-04T08:27:55ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152018-04-010411011310.26425/1816-4277-2018-4-110-1131005BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEXA. Mikhajlova0Financial University Under the Government of the Russian FederationThe 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).https://vestnik.guu.ru/jour/article/view/1005big datatogafconsumer price indexbig datahadooptogafbusiness and it architecture
spellingShingle A. Mikhajlova
BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
Вестник университета
big data
togaf
consumer price index
big data
hadoop
togaf
business and it architecture
title 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_short 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
topic big data
togaf
consumer price index
big data
hadoop
togaf
business and it architecture
url https://vestnik.guu.ru/jour/article/view/1005
work_keys_str_mv AT amikhajlova bigdatahowcaninformationtechnologieshelpthestatisticsservicetoincreaseefficiencyofcalculationoftheconsumerpriceindex