Dataset Viewer
Auto-converted to Parquet Duplicate
customer_id
large_stringlengths
9
9
customer_unique_id
large_stringlengths
11
11
customer_zip_code_prefix
large_stringlengths
5
5
customer_city
large_stringclasses
23 values
customer_state
large_stringclasses
11 values
cust_0000
unique_0000
22183
Niteroi
RJ
cust_0001
unique_0001
39299
Brasilia
DF
cust_0002
unique_0002
22874
Salvador
BA
cust_0003
unique_0003
42711
Uberlandia
MG
cust_0004
unique_0004
15539
Guarulhos
SP
cust_0005
unique_0005
63351
Sao Paulo
SP
cust_0006
unique_0006
71267
Guarulhos
SP
cust_0007
unique_0007
58354
Fortaleza
CE
cust_0008
unique_0008
12557
Porto Alegre
RS
cust_0009
unique_0009
48360
Curitiba
PR
cust_0010
unique_0010
92018
Guarulhos
SP
cust_0011
unique_0011
12200
Brasilia
DF
cust_0012
unique_0012
78497
Olinda
PE
cust_0013
unique_0013
56975
Guarulhos
SP
cust_0014
unique_0014
31357
Guarulhos
SP
cust_0015
unique_0015
87505
Santos
SP
cust_0016
unique_0016
12869
Campinas
SP
cust_0017
unique_0017
71135
Belo Horizonte
MG
cust_0018
unique_0018
60108
Petropolis
RJ
cust_0019
unique_0019
48467
Guarulhos
SP
cust_0020
unique_0020
33328
Caxias Do Sul
RS
cust_0021
unique_0021
96831
Guarulhos
SP
cust_0022
unique_0022
13987
Campinas
SP
cust_0023
unique_0023
68871
Petropolis
RJ
cust_0024
unique_0024
32399
Rio De Janeiro
RJ
cust_0025
unique_0025
56214
Florianopolis
SC
cust_0026
unique_0026
96416
Sao Paulo
SP
cust_0027
unique_0027
80271
Juiz De Fora
MG
cust_0028
unique_0028
54064
Juiz De Fora
MG
cust_0029
unique_0029
80091
Sao Paulo
SP
cust_0030
unique_0030
50818
Caxias Do Sul
RS
cust_0031
unique_0031
55525
Santos
SP
cust_0032
unique_0032
29830
Sao Paulo
SP
cust_0033
unique_0033
27429
Goiania
GO
cust_0034
unique_0034
16893
Brasilia
DF
cust_0035
unique_0035
89909
Florianopolis
SC
cust_0036
unique_0036
57333
Guarulhos
SP
cust_0037
unique_0037
13436
Campinas
SP
cust_0038
unique_0038
84290
Maringa
PR
cust_0039
unique_0039
86213
Rio De Janeiro
RJ
cust_0040
unique_0040
15895
Sao Paulo
SP
cust_0041
unique_0041
29738
Petropolis
RJ
cust_0042
unique_0042
40746
Campinas
SP
cust_0043
unique_0043
59377
Goiania
GO
cust_0044
unique_0044
58404
Campinas
SP
cust_0045
unique_0045
64045
Porto Alegre
RS
cust_0046
unique_0046
49790
Santos
SP
cust_0047
unique_0047
15600
Uberlandia
MG
cust_0048
unique_0048
50764
Juiz De Fora
MG
cust_0049
unique_0049
84543
Santos
SP
cust_0050
unique_0050
55714
Brasilia
DF
cust_0051
unique_0051
66835
Salvador
BA
cust_0052
unique_0052
83744
Goiania
GO
cust_0053
unique_0053
66491
Fortaleza
CE
cust_0054
unique_0054
28589
Uberlandia
MG
cust_0055
unique_0055
53484
Goiania
GO
cust_0056
unique_0056
92989
Guarulhos
SP
cust_0057
unique_0057
46212
Sao Paulo
SP
cust_0058
unique_0058
53525
Campinas
SP
cust_0059
unique_0059
57202
Campinas
SP
cust_0060
unique_0060
42635
Niteroi
RJ
cust_0061
unique_0061
73208
Campinas
SP
cust_0062
unique_0062
43828
Olinda
PE
cust_0063
unique_0063
28711
Petropolis
RJ
cust_0064
unique_0064
13420
Sao Paulo
SP
cust_0065
unique_0065
10301
Juiz De Fora
MG
cust_0066
unique_0066
55236
Guarulhos
SP
cust_0067
unique_0067
76235
Joinville
SC
cust_0068
unique_0068
64240
Sao Paulo
SP
cust_0069
unique_0069
75726
Brasilia
DF
cust_0070
unique_0070
20492
Feira De Santana
BA
cust_0071
unique_0071
16102
Sao Paulo
SP
cust_0072
unique_0072
60336
Santos
SP
cust_0073
unique_0073
95314
Florianopolis
SC
cust_0074
unique_0074
36641
Curitiba
PR
cust_0075
unique_0075
44584
Curitiba
PR
cust_0076
unique_0076
42745
Salvador
BA
cust_0077
unique_0077
33093
Sao Paulo
SP
cust_0078
unique_0078
76105
Niteroi
RJ
cust_0079
unique_0079
61885
Sao Paulo
SP
cust_0080
unique_0080
46631
Fortaleza
CE
cust_0081
unique_0081
82991
Porto Alegre
RS
cust_0082
unique_0082
14014
Guarulhos
SP
cust_0083
unique_0083
21093
Guarulhos
SP
cust_0084
unique_0084
28070
Santos
SP
cust_0085
unique_0085
45777
Sao Paulo
SP
cust_0086
unique_0086
66958
Maringa
PR
cust_0087
unique_0087
92074
Caxias Do Sul
RS
cust_0088
unique_0088
20729
Fortaleza
CE
cust_0089
unique_0089
55017
Niteroi
RJ
cust_0090
unique_0090
76320
Sao Paulo
SP
cust_0091
unique_0091
37751
Maringa
PR
cust_0092
unique_0092
88069
Feira De Santana
BA
cust_0093
unique_0093
64748
Juiz De Fora
MG
cust_0094
unique_0094
15801
Feira De Santana
BA
cust_0095
unique_0095
29190
Rio De Janeiro
RJ
cust_0096
unique_0096
59689
Belo Horizonte
MG
cust_0097
unique_0097
60993
Petropolis
RJ
cust_0098
unique_0098
39592
Sao Paulo
SP
cust_0099
unique_0099
20647
Santos
SP
End of preview. Expand in Data Studio

📚 BIM5021 - Nhà kho dữ liệu và Tích hợp (Data Warehousing and Integration)

HuggingFace

📊 Sample Data: Click tab "Dataset Viewer" bên trên để preview dữ liệu mẫu Olist E-commerce.

🏫 Thông tin học phần

Thông tin Chi tiết
Mã học phần BIM5021
Trường Đại học Kinh tế - Luật (UEL), ĐHQG-HCM
Khoa Hệ thống Thông tin
Số tín chỉ 3 (2 lý thuyết + 1 thực hành)
Giảng viên TS. Nguyễn Thôn Dã, NCS. ThS Nguyễn Văn Hồ

📋 Cấu trúc 9 Chương

Chương Nội dung Files
Ch.1 Kiến trúc dữ liệu (MDW, Lakehouse, Mesh, Fabric) README + Lab + Diagrams
Ch.2 Mô hình hóa (Star Schema, Medallion, SCD) README + 3 Labs
Ch.3 Pipeline (ETL/ELT, CDC, dbt, Streaming) README + Lab
Ch.4 Tiền xử lý (Cleaning, Normalization, PCA) README + Lab + Charts
Ch.5 Data Mining (Apriori, Decision Tree, K-Means, DBSCAN) README + Lab + Charts
Ch.6 In-Database ML & MLOps README
Ch.7 Governance, Security, Ethics (AI Act 2026) README
Ch.8 Generative BI & Agentic BI README
Ch.9 Multi-model (Graph, Vector, Blockchain) README

🔗 Đồ án thực hành

👉 thanhtai435/agentic-bi-ecommerce — Implementation đầy đủ

📖 Tài liệu tham khảo

  1. Jiawei Han et al. (2023). Data Mining: Concepts and Techniques. Elsevier.
  2. James Serra (2024). Deciphering Data Architectures. O'Reilly.
  3. Ganesh Bharathan (2024). Ultimate Snowflake Architecture. Orange Education.
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