Гафиатуллина, Алина Эдуардовна. Оценка целесообразности применения технологий больших данных для торговых сетей: выпускная квалификационная работа магистра: направление 38.04.06 «Торговое дело» ; образовательная программа 38.04.06_02 «Организация и управление бизнес-процессами в сфере торговли» = Evaluation of the expediency of application of Big Data for trading companies / А. Э. Гафиатуллина; Санкт-Петербургский политехнический университет Петра Великого, Институт промышленного менеджмента, экономики и торговли ; научный руководитель И. В. Капустина ; консультант по нормоконтролю Р. А. Икрамов. — Санкт-Петербург, 2020. — 1 файл (1,3 Мб). — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/vr20-2099.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-2099-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-2099-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-2099-a.pdf>. — DOI 10.18720/SPBPU/3/2020/vr/vr20-2099. — Текст
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Period
|
Read
|
Print
|
Copy
|
Open
|
Total
|
|
Year 2020
|
Quarter 4
|
November
|
2
|
0
|
0
|
0
|
2
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2021
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 2
|
April
|
2
|
0
|
0
|
0
|
2
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
2
|
0
|
0
|
0
|
2
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
1
|
0
|
0
|
0
|
1
|
|
November
|
2
|
0
|
0
|
0
|
2
|
|
December
|
1
|
0
|
0
|
0
|
1
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
1
|
0
|
0
|
0
|
1
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
3
|
0
|
0
|
0
|
3
|
|
Year 2023
|
Quarter 1
|
January
|
1
|
0
|
0
|
0
|
1
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 2
|
April
|
6
|
0
|
0
|
0
|
6
|
|
May
|
3
|
0
|
0
|
0
|
3
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2024
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
1
|
0
|
0
|
0
|
1
|
|
May
|
1
|
0
|
0
|
0
|
1
|
|
Total
|
29
|
0
|
0
|
0
|
29
|
