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[] Udemy - Data Warehouse Concepts Basic to Advanced concepts

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  • 文件大小:1GB
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文件列表

  1. 2. Brief about the Data warehouse/3. What is a Data Warehouse.mp4 45MB
  2. 11. Dimensional Model/18. Slowly Changing Dimensions - Type 1, 2 and 3.mp4 39MB
  3. 5. ODS - Operational Data Store/3. Staging Vs ODS.mp4 38MB
  4. 2. Brief about the Data warehouse/4. Characteristics of a Data Warehouse.mp4 30MB
  5. 11. Dimensional Model/17. Slowly Changing Dimensions - Intro and Example Creation.mp4 27MB
  6. 1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp4 26MB
  7. 13. Data Integration and ETL/1. What is Data Integration.mp4 22MB
  8. 15. ETL - Extraction Transformation & Loading/1. Build Vs Buy.mp4 20MB
  9. 17. DWBIETL Implementation Approach/3. Requirements.mp4 19MB
  10. 16. Typical Roles In DWH Project/4. SME - Subject Matter Expert.mp4 19MB
  11. 16. Typical Roles In DWH Project/12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.mp4 19MB
  12. 2. Brief about the Data warehouse/1. Is Data Warehouse still relevant in the age of Big Data.mp4 18MB
  13. 3. Business Intelligence/1. What is Business Intelligence.mp4 17MB
  14. 3. Business Intelligence/3. Uses of Business Intelligence.mp4 16MB
  15. 16. Typical Roles In DWH Project/6. Data Modeler.mp4 15MB
  16. 19. Bonus Section/1. Links to other courses.srt 15MB
  17. 19. Bonus Section/1. Links to other courses.mp4 15MB
  18. 11. Dimensional Model/20. Step by Step approach to set up the Dimensional Model using a retail case study.mp4 15MB
  19. 11. Dimensional Model/21. ER Model Vs Dimensional Model.mp4 15MB
  20. 5. ODS - Operational Data Store/2. Define ODS.mp4 14MB
  21. 8. Metadata/4. Projects on Metadata.mp4 14MB
  22. 3. Business Intelligence/4. Tools used for (in) Business Intelligence.mp4 14MB
  23. 8. Metadata/3. Types of Metadata.mp4 14MB
  24. 14. ETL Vs ELT/1. ETL - Explained.mp4 13MB
  25. 5. ODS - Operational Data Store/4. Differences between ODS,DWH, OLTP, OLAP, DSS.mp4 12MB
  26. 11. Dimensional Model/14. Conformed Dimension.mp4 12MB
  27. 4. Data Warehouse Architectures/8. Limitations of Traditional Data Warehouses.mp4 12MB
  28. 11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.mp4 11MB
  29. 6. OLAP/4. OLAP Architecture - MOLAP.mp4 11MB
  30. 14. ETL Vs ELT/2. ELT - Explained.mp4 11MB
  31. 6. OLAP/3. OLTP Vs OLAP - Part 2.mp4 11MB
  32. 2. Brief about the Data warehouse/2. Why do we need a Data Warehouse.mp4 11MB
  33. 6. OLAP/1. OLAP Overview.mp4 10MB
  34. 9. Data Modeling/2. Data Modeling Techniques.mp4 10MB
  35. 11. Dimensional Model/1. What is Dimension Modelling.mp4 10MB
  36. 17. DWBIETL Implementation Approach/4. Architecture phases.mp4 10MB
  37. 16. Typical Roles In DWH Project/1. Project Sponsor.mp4 10MB
  38. 11. Dimensional Model/10. Star Schema.mp4 10MB
  39. 4. Data Warehouse Architectures/5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.mp4 10MB
  40. 4. Data Warehouse Architectures/1. Enterprise Architecture or Centralized Architecture.mp4 9MB
  41. 15. ETL - Extraction Transformation & Loading/3. Extraction Methods in Data Warehouses.mp4 9MB
  42. 11. Dimensional Model/19. Slowly Changing Dimensions - Summary.mp4 9MB
  43. 8. Metadata/6. Summary.mp4 9MB
  44. 13. Data Integration and ETL/2. What is ETL.mp4 9MB
  45. 3. Business Intelligence/2. Business Intelligence -Extended Explanation.mp4 9MB
  46. 6. OLAP/2. OLTP Vs OLAP - Part 1_U.mp4 9MB
  47. 4. Data Warehouse Architectures/6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.mp4 8MB
  48. 17. DWBIETL Implementation Approach/2. Knowledge Capture Sessions.mp4 8MB
  49. 5. ODS - Operational Data Store/1. What is ODS.mp4 8MB
  50. 4. Data Warehouse Architectures/4. Components of a Data Warehouse.mp4 8MB
  51. 10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.mp4 8MB
  52. 11. Dimensional Model/16. Degenerate Dimension.mp4 8MB
  53. 10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.mp4 8MB
  54. 7. Data Mart/4. Characteristics of a Data Mart.mp4 8MB
  55. 7. Data Mart/5. Disadvantages of a Data Mart.mp4 8MB
  56. 17. DWBIETL Implementation Approach/18. Iterative Approach.mp4 8MB
  57. 10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.mp4 8MB
  58. 6. OLAP/5. ROLAP.mp4 7MB
  59. 4. Data Warehouse Architectures/3. Multi-Tired Architecture.mp4 7MB
  60. 12. DWH Indexes/2. Bitmap Index.mp4 7MB
  61. 11. Dimensional Model/11. SnowFlake Schema.mp4 7MB
  62. 11. Dimensional Model/9. What is a Surrogate key.mp4 7MB
  63. 12. DWH Indexes/4. Bitmap Index Vs B Tree Index.mp4 7MB
  64. 10. Entity Relational Data Model/14. ER Data Model - Disadvantages.mp4 7MB
  65. 10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.mp4 7MB
  66. 7. Data Mart/3. Advantages of a Data Mart.mp4 7MB
  67. 16. Typical Roles In DWH Project/5. DW BI Architect.mp4 7MB
  68. 4. Data Warehouse Architectures/2. Federated Architecture.mp4 6MB
  69. 13. Data Integration and ETL/3. Common Questions and Summary.mp4 6MB
  70. 7. Data Mart/6. Mistakes and MisConceptions of a Data Mart.mp4 6MB
  71. 11. Dimensional Model/15. Junk Dimension.mp4 6MB
  72. 8. Metadata/1. Overview of Metadata.mp4 6MB
  73. 12. DWH Indexes/4. Bitmap Index Vs B Tree Index.srt 6MB
  74. 17. DWBIETL Implementation Approach/6. ETL Phase.mp4 6MB
  75. 10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.mp4 6MB
  76. 11. Dimensional Model/3. What is a Dimension.mp4 6MB
  77. 11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.mp4 5MB
  78. 16. Typical Roles In DWH Project/3. Functional Analyst or Business Analyst.mp4 5MB
  79. 4. Data Warehouse Architectures/7. Advantages of Traditional warehouse.mp4 5MB
  80. 9. Data Modeling/1. What is Data Modeling.srt 5MB
  81. 9. Data Modeling/1. What is Data Modeling.mp4 5MB
  82. 11. Dimensional Model/6. Semi Additive Facts.mp4 5MB
  83. 11. Dimensional Model/8. FactLess Facts.mp4 5MB
  84. 10. Entity Relational Data Model/10. ER Data Model - Notation.mp4 5MB
  85. 17. DWBIETL Implementation Approach/7. Data Access Phase.mp4 5MB
  86. 6. OLAP/6. HOLAP.mp4 5MB
  87. 14. ETL Vs ELT/3. ETL Vs ELT.mp4 5MB
  88. 8. Metadata/2. Benefits of Metadata.mp4 5MB
  89. 10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.mp4 5MB
  90. 18. Retired Lectures/1. ETL Vs ELT.mp4 5MB
  91. 17. DWBIETL Implementation Approach/11. Data Access Types - Calculations.mp4 5MB
  92. 17. DWBIETL Implementation Approach/13. Data Access Types -Data Entry Options.mp4 4MB
  93. 11. Dimensional Model/4. What is a Fact.mp4 4MB
  94. 12. DWH Indexes/1. What is an Index.mp4 4MB
  95. 7. Data Mart/1. What is a Data Mart.mp4 4MB
  96. 11. Dimensional Model/5. Additive Facts.mp4 4MB
  97. 10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.mp4 4MB
  98. 16. Typical Roles In DWH Project/8. ETL Developers.mp4 4MB
  99. 16. Typical Roles In DWH Project/13. Final Note about the Roles.mp4 4MB
  100. 10. Entity Relational Data Model/5. ER Data Model - Attributes.mp4 4MB
  101. 16. Typical Roles In DWH Project/10. ETL TestersQA Group.mp4 4MB
  102. 6. OLAP/7. DOLAP.mp4 4MB
  103. 10. Entity Relational Data Model/2. ER Data Model - What is Entity.mp4 4MB
  104. 17. DWBIETL Implementation Approach/16. Data Access Types - BroadCasting.mp4 4MB
  105. 17. DWBIETL Implementation Approach/8. Data Access Types - Selection.mp4 4MB
  106. 17. DWBIETL Implementation Approach/17. Deploy.mp4 4MB
  107. 11. Dimensional Model/2. Benefits of Dimensional Modelling.mp4 4MB
  108. 12. DWH Indexes/3. B-Tree index.mp4 4MB
  109. 8. Metadata/5. Best Practices for Metadata Setup.mp4 4MB
  110. 10. Entity Relational Data Model/8. ER Data Model - Identifier.mp4 4MB
  111. 15. ETL - Extraction Transformation & Loading/2. ETL Tools for Data Warehouses.mp4 4MB
  112. 10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.mp4 4MB
  113. 17. DWBIETL Implementation Approach/9. Data Access Types - Drilling Down.mp4 3MB
  114. 17. DWBIETL Implementation Approach/5. Data ModelDatabase.mp4 3MB
  115. 17. DWBIETL Implementation Approach/1. Different phases in DWBIETL Implementation Approach.mp4 3MB
  116. 16. Typical Roles In DWH Project/2. Project Manager.mp4 3MB
  117. 11. Dimensional Model/7. Non-Additive Facts.mp4 3MB
  118. 16. Typical Roles In DWH Project/9. BI OLAP Developers.mp4 3MB
  119. 10. Entity Relational Data Model/9. ER Data Model - Relationship.mp4 3MB
  120. 17. DWBIETL Implementation Approach/10. Data Access Types - Exception Reporting.mp4 3MB
  121. 16. Typical Roles In DWH Project/7. DWH Tech Admin.mp4 3MB
  122. 17. DWBIETL Implementation Approach/12. Data Access Types - Graphics and Visualization.mp4 3MB
  123. 17. DWBIETL Implementation Approach/14. Data Access Types - Customization.mp4 2MB
  124. 16. Typical Roles In DWH Project/11. DB UNIX Network Admins.mp4 2MB
  125. 7. Data Mart/2. Fundamental Difference between DWH and DM.mp4 2MB
  126. 17. DWBIETL Implementation Approach/15. Data Access Types - WebBased Reporting.mp4 2MB
  127. 2. Brief about the Data warehouse/4.1 Overall DWH Concepts handbook.pdf 1MB
  128. 5. ODS - Operational Data Store/4.1 differences-between OLTP, OLAP, ODS, DWH, DSS Sytems.pdf 466KB
  129. 16. Typical Roles In DWH Project/6.1 Roles and Responsibilities of a Data Modeler.docx 16KB
  130. 11. Dimensional Model/18. Slowly Changing Dimensions - Type 1, 2 and 3.srt 15KB
  131. 16. Typical Roles In DWH Project/12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.srt 12KB
  132. 16. Typical Roles In DWH Project/6. Data Modeler.srt 11KB
  133. 5. ODS - Operational Data Store/2. Define ODS.srt 11KB
  134. 3. Business Intelligence/3. Uses of Business Intelligence.srt 10KB
  135. 11. Dimensional Model/20. Step by Step approach to set up the Dimensional Model using a retail case study.srt 9KB
  136. 17. DWBIETL Implementation Approach/3. Requirements.srt 9KB
  137. 11. Dimensional Model/14. Conformed Dimension.srt 9KB
  138. 14. ETL Vs ELT/1. ETL - Explained.srt 8KB
  139. 1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.srt 8KB
  140. 13. Data Integration and ETL/1. What is Data Integration.srt 8KB
  141. 14. ETL Vs ELT/2. ELT - Explained.srt 8KB
  142. 11. Dimensional Model/21. ER Model Vs Dimensional Model.srt 8KB
  143. 4. Data Warehouse Architectures/8. Limitations of Traditional Data Warehouses.srt 8KB
  144. 2. Brief about the Data warehouse/2. Why do we need a Data Warehouse.srt 7KB
  145. 6. OLAP/4. OLAP Architecture - MOLAP.srt 7KB
  146. 8. Metadata/4. Projects on Metadata.srt 7KB
  147. 6. OLAP/3. OLTP Vs OLAP - Part 2.srt 7KB
  148. 3. Business Intelligence/4. Tools used for (in) Business Intelligence.srt 7KB
  149. 15. ETL - Extraction Transformation & Loading/3. Extraction Methods in Data Warehouses.srt 7KB
  150. 6. OLAP/1. OLAP Overview.srt 7KB
  151. 11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.srt 7KB
  152. 2. Brief about the Data warehouse/4. Characteristics of a Data Warehouse.srt 7KB
  153. 2. Brief about the Data warehouse/3. What is a Data Warehouse.srt 7KB
  154. 11. Dimensional Model/10. Star Schema.srt 7KB
  155. 8. Metadata/3. Types of Metadata.srt 7KB
  156. 11. Dimensional Model/17. Slowly Changing Dimensions - Intro and Example Creation.srt 6KB
  157. 3. Business Intelligence/1. What is Business Intelligence.srt 6KB
  158. 4. Data Warehouse Architectures/5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.srt 6KB
  159. 4. Data Warehouse Architectures/1. Enterprise Architecture or Centralized Architecture.srt 6KB
  160. 15. ETL - Extraction Transformation & Loading/1. Build Vs Buy.srt 6KB
  161. 11. Dimensional Model/1. What is Dimension Modelling.srt 6KB
  162. 16. Typical Roles In DWH Project/4. SME - Subject Matter Expert.srt 6KB
  163. 13. Data Integration and ETL/2. What is ETL.srt 6KB
  164. 17. DWBIETL Implementation Approach/4. Architecture phases.srt 6KB
  165. 10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.srt 5KB
  166. 6. OLAP/2. OLTP Vs OLAP - Part 1_U.srt 5KB
  167. 5. ODS - Operational Data Store/4. Differences between ODS,DWH, OLTP, OLAP, DSS.srt 5KB
  168. 4. Data Warehouse Architectures/4. Components of a Data Warehouse.srt 5KB
  169. 9. Data Modeling/2. Data Modeling Techniques.srt 5KB
  170. 7. Data Mart/4. Characteristics of a Data Mart.srt 5KB
  171. 2. Brief about the Data warehouse/1. Is Data Warehouse still relevant in the age of Big Data.srt 5KB
  172. 11. Dimensional Model/9. What is a Surrogate key.srt 5KB
  173. 4. Data Warehouse Architectures/6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.srt 5KB
  174. 12. DWH Indexes/2. Bitmap Index.srt 5KB
  175. 10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.srt 5KB
  176. 10. Entity Relational Data Model/14. ER Data Model - Disadvantages.srt 5KB
  177. 17. DWBIETL Implementation Approach/2. Knowledge Capture Sessions.srt 5KB
  178. 10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.srt 5KB
  179. 11. Dimensional Model/16. Degenerate Dimension.srt 4KB
  180. 6. OLAP/5. ROLAP.srt 4KB
  181. 3. Business Intelligence/2. Business Intelligence -Extended Explanation.srt 4KB
  182. 11. Dimensional Model/11. SnowFlake Schema.srt 4KB
  183. 16. Typical Roles In DWH Project/1. Project Sponsor.srt 4KB
  184. 4. Data Warehouse Architectures/2. Federated Architecture.srt 4KB
  185. 7. Data Mart/5. Disadvantages of a Data Mart.srt 4KB
  186. 16. Typical Roles In DWH Project/3. Functional Analyst or Business Analyst.srt 4KB
  187. 11. Dimensional Model/19. Slowly Changing Dimensions - Summary.srt 4KB
  188. 16. Typical Roles In DWH Project/5. DW BI Architect.srt 4KB
  189. 4. Data Warehouse Architectures/3. Multi-Tired Architecture.srt 4KB
  190. 10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.srt 4KB
  191. 11. Dimensional Model/15. Junk Dimension.srt 4KB
  192. 17. DWBIETL Implementation Approach/18. Iterative Approach.srt 4KB
  193. 8. Metadata/6. Summary.srt 3KB
  194. 13. Data Integration and ETL/3. Common Questions and Summary.srt 3KB
  195. 10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.srt 3KB
  196. 11. Dimensional Model/6. Semi Additive Facts.srt 3KB
  197. 4. Data Warehouse Architectures/7. Advantages of Traditional warehouse.srt 3KB
  198. 17. DWBIETL Implementation Approach/6. ETL Phase.srt 3KB
  199. 11. Dimensional Model/3. What is a Dimension.srt 3KB
  200. 7. Data Mart/3. Advantages of a Data Mart.srt 3KB
  201. 10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.srt 3KB
  202. 6. OLAP/6. HOLAP.srt 3KB
  203. 10. Entity Relational Data Model/10. ER Data Model - Notation.srt 3KB
  204. 18. Retired Lectures/1. ETL Vs ELT.srt 3KB
  205. 14. ETL Vs ELT/3. ETL Vs ELT.srt 3KB
  206. 11. Dimensional Model/8. FactLess Facts.srt 3KB
  207. 17. DWBIETL Implementation Approach/13. Data Access Types -Data Entry Options.srt 3KB
  208. 11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.srt 3KB
  209. 5. ODS - Operational Data Store/1. What is ODS.srt 3KB
  210. 16. Typical Roles In DWH Project/13. Final Note about the Roles.srt 3KB
  211. 7. Data Mart/6. Mistakes and MisConceptions of a Data Mart.srt 3KB
  212. 12. DWH Indexes/1. What is an Index.srt 3KB
  213. 16. Typical Roles In DWH Project/10. ETL TestersQA Group.srt 2KB
  214. 11. Dimensional Model/4. What is a Fact.srt 2KB
  215. 10. Entity Relational Data Model/2. ER Data Model - What is Entity.srt 2KB
  216. 10. Entity Relational Data Model/8. ER Data Model - Identifier.srt 2KB
  217. 17. DWBIETL Implementation Approach/1. Different phases in DWBIETL Implementation Approach.srt 2KB
  218. 16. Typical Roles In DWH Project/8. ETL Developers.srt 2KB
  219. 17. DWBIETL Implementation Approach/7. Data Access Phase.srt 2KB
  220. 15. ETL - Extraction Transformation & Loading/2. ETL Tools for Data Warehouses.srt 2KB
  221. 10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.srt 2KB
  222. 16. Typical Roles In DWH Project/2. Project Manager.srt 2KB
  223. 8. Metadata/1. Overview of Metadata.srt 2KB
  224. 10. Entity Relational Data Model/5. ER Data Model - Attributes.srt 2KB
  225. 12. DWH Indexes/3. B-Tree index.srt 2KB
  226. 11. Dimensional Model/2. Benefits of Dimensional Modelling.srt 2KB
  227. 17. DWBIETL Implementation Approach/17. Deploy.srt 2KB
  228. 11. Dimensional Model/5. Additive Facts.srt 2KB
  229. 6. OLAP/7. DOLAP.srt 2KB
  230. 17. DWBIETL Implementation Approach/8. Data Access Types - Selection.srt 2KB
  231. 7. Data Mart/1. What is a Data Mart.srt 2KB
  232. 17. DWBIETL Implementation Approach/5. Data ModelDatabase.srt 2KB
  233. 11. Dimensional Model/7. Non-Additive Facts.srt 2KB
  234. 8. Metadata/2. Benefits of Metadata.srt 2KB
  235. 8. Metadata/5. Best Practices for Metadata Setup.srt 2KB
  236. 10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.srt 2KB
  237. 16. Typical Roles In DWH Project/9. BI OLAP Developers.srt 2KB
  238. 17. DWBIETL Implementation Approach/11. Data Access Types - Calculations.srt 2KB
  239. 16. Typical Roles In DWH Project/7. DWH Tech Admin.srt 2KB
  240. 10. Entity Relational Data Model/9. ER Data Model - Relationship.srt 2KB
  241. 17. DWBIETL Implementation Approach/16. Data Access Types - BroadCasting.srt 1KB
  242. 17. DWBIETL Implementation Approach/14. Data Access Types - Customization.srt 1KB
  243. 16. Typical Roles In DWH Project/11. DB UNIX Network Admins.srt 1KB
  244. 17. DWBIETL Implementation Approach/15. Data Access Types - WebBased Reporting.srt 1KB
  245. 17. DWBIETL Implementation Approach/12. Data Access Types - Graphics and Visualization.srt 1KB
  246. 17. DWBIETL Implementation Approach/9. Data Access Types - Drilling Down.srt 979B
  247. 17. DWBIETL Implementation Approach/10. Data Access Types - Exception Reporting.srt 813B
  248. 7. Data Mart/2. Fundamental Difference between DWH and DM.srt 674B
  249. [Tutorialsplanet.NET].url 128B
  250. 5. ODS - Operational Data Store/3. Staging Vs ODS.srt 0B