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