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[Tutorialsplanet.NET] Udemy - Data Warehouse Concepts Basic to Advanced concepts

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视频 2020-8-3 01:34 2024-12-24 13:35 240 1.08 GB 123
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Tutorialsplanet NET Udemy - Data Warehouse Concepts Basic to Advanced concepts

文件列表
  1. 1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp425.52MB
  2. 10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.mp47.88MB
  3. 10. Entity Relational Data Model/10. ER Data Model - Notation.mp45.2MB
  4. 10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.mp43.66MB
  5. 10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.mp44.79MB
  6. 10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.mp46.71MB
  7. 10. Entity Relational Data Model/14. ER Data Model - Disadvantages.mp46.82MB
  8. 10. Entity Relational Data Model/2. ER Data Model - What is Entity.mp43.98MB
  9. 10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.mp47.91MB
  10. 10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.mp44.08MB
  11. 10. Entity Relational Data Model/5. ER Data Model - Attributes.mp44.04MB
  12. 10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.mp47.54MB
  13. 10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.mp45.6MB
  14. 10. Entity Relational Data Model/8. ER Data Model - Identifier.mp43.7MB
  15. 10. Entity Relational Data Model/9. ER Data Model - Relationship.mp42.92MB
  16. 11. Dimensional Model/1. What is Dimension Modelling.mp410.09MB
  17. 11. Dimensional Model/10. Star Schema.mp49.96MB
  18. 11. Dimensional Model/11. SnowFlake Schema.mp47.23MB
  19. 11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.mp45.41MB
  20. 11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.mp411.47MB
  21. 11. Dimensional Model/14. Conformed Dimension.mp411.91MB
  22. 11. Dimensional Model/15. Junk Dimension.mp46.09MB
  23. 11. Dimensional Model/16. Degenerate Dimension.mp47.89MB
  24. 11. Dimensional Model/17. Slowly Changing Dimensions - Intro and Example Creation.mp427.28MB
  25. 11. Dimensional Model/18. Slowly Changing Dimensions - Type 1, 2 and 3.mp438.69MB
  26. 11. Dimensional Model/19. Slowly Changing Dimensions - Summary.mp49.07MB
  27. 11. Dimensional Model/2. Benefits of Dimensional Modelling.mp43.82MB
  28. 11. Dimensional Model/20. Step by Step approach to set up the Dimensional Model using a retail case study.mp414.67MB
  29. 11. Dimensional Model/21. ER Model Vs Dimensional Model.mp414.65MB
  30. 11. Dimensional Model/3. What is a Dimension.mp45.54MB
  31. 11. Dimensional Model/4. What is a Fact.mp44.3MB
  32. 11. Dimensional Model/5. Additive Facts.mp44.13MB
  33. 11. Dimensional Model/6. Semi Additive Facts.mp45.24MB
  34. 11. Dimensional Model/7. Non-Additive Facts.mp43.27MB
  35. 11. Dimensional Model/8. FactLess Facts.mp45.21MB
  36. 11. Dimensional Model/9. What is a Surrogate key.mp47.01MB
  37. 12. DWH Indexes/1. What is an Index.mp44.26MB
  38. 12. DWH Indexes/2. Bitmap Index.mp47.24MB
  39. 12. DWH Indexes/3. B-Tree index.mp43.82MB
  40. 12. DWH Indexes/4. Bitmap Index Vs B Tree Index.mp46.85MB
  41. 13. Data Integration and ETL/1. What is Data Integration.mp421.78MB
  42. 13. Data Integration and ETL/2. What is ETL.mp48.91MB
  43. 13. Data Integration and ETL/3. Common Questions and Summary.mp46.38MB
  44. 14. ETL Vs ELT/1. ETL - Explained.mp413.4MB
  45. 14. ETL Vs ELT/2. ELT - Explained.mp411.37MB
  46. 14. ETL Vs ELT/3. ETL Vs ELT.mp44.94MB
  47. 15. ETL - Extraction Transformation & Loading/1. Build Vs Buy.mp419.82MB
  48. 15. ETL - Extraction Transformation & Loading/2. ETL Tools for Data Warehouses.mp43.67MB
  49. 15. ETL - Extraction Transformation & Loading/3. Extraction Methods in Data Warehouses.mp49.13MB
  50. 16. Typical Roles In DWH Project/1. Project Sponsor.mp410.02MB
  51. 16. Typical Roles In DWH Project/10. ETL TestersQA Group.mp44.04MB
  52. 16. Typical Roles In DWH Project/11. DB UNIX Network Admins.mp42.01MB
  53. 16. Typical Roles In DWH Project/12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.mp418.6MB
  54. 16. Typical Roles In DWH Project/13. Final Note about the Roles.mp44.05MB
  55. 16. Typical Roles In DWH Project/2. Project Manager.mp43.31MB
  56. 16. Typical Roles In DWH Project/3. Functional Analyst or Business Analyst.mp45.39MB
  57. 16. Typical Roles In DWH Project/4. SME - Subject Matter Expert.mp419.34MB
  58. 16. Typical Roles In DWH Project/5. DW BI Architect.mp46.53MB
  59. 16. Typical Roles In DWH Project/6. Data Modeler.mp415.46MB
  60. 16. Typical Roles In DWH Project/7. DWH Tech Admin.mp42.55MB
  61. 16. Typical Roles In DWH Project/8. ETL Developers.mp44.07MB
  62. 16. Typical Roles In DWH Project/9. BI OLAP Developers.mp43.24MB
  63. 17. DWBIETL Implementation Approach/1. Different phases in DWBIETL Implementation Approach.mp43.34MB
  64. 17. DWBIETL Implementation Approach/10. Data Access Types - Exception Reporting.mp42.71MB
  65. 17. DWBIETL Implementation Approach/11. Data Access Types - Calculations.mp44.6MB
  66. 17. DWBIETL Implementation Approach/12. Data Access Types - Graphics and Visualization.mp42.54MB
  67. 17. DWBIETL Implementation Approach/13. Data Access Types -Data Entry Options.mp44.49MB
  68. 17. DWBIETL Implementation Approach/14. Data Access Types - Customization.mp42.2MB
  69. 17. DWBIETL Implementation Approach/15. Data Access Types - WebBased Reporting.mp41.86MB
  70. 17. DWBIETL Implementation Approach/16. Data Access Types - BroadCasting.mp43.86MB
  71. 17. DWBIETL Implementation Approach/17. Deploy.mp43.85MB
  72. 17. DWBIETL Implementation Approach/18. Iterative Approach.mp47.78MB
  73. 17. DWBIETL Implementation Approach/2. Knowledge Capture Sessions.mp48.28MB
  74. 17. DWBIETL Implementation Approach/3. Requirements.mp419.42MB
  75. 17. DWBIETL Implementation Approach/4. Architecture phases.mp410.05MB
  76. 17. DWBIETL Implementation Approach/5. Data ModelDatabase.mp43.38MB
  77. 17. DWBIETL Implementation Approach/6. ETL Phase.mp46.04MB
  78. 17. DWBIETL Implementation Approach/7. Data Access Phase.mp45.14MB
  79. 17. DWBIETL Implementation Approach/8. Data Access Types - Selection.mp43.86MB
  80. 17. DWBIETL Implementation Approach/9. Data Access Types - Drilling Down.mp43.49MB
  81. 18. Retired Lectures/1. ETL Vs ELT.mp44.6MB
  82. 19. Bonus Section/1. Links to other courses.mp414.84MB
  83. 2. Brief about the Data warehouse/1. Is Data Warehouse still relevant in the age of Big Data.mp417.71MB
  84. 2. Brief about the Data warehouse/2. Why do we need a Data Warehouse.mp410.57MB
  85. 2. Brief about the Data warehouse/3. What is a Data Warehouse.mp445.07MB
  86. 2. Brief about the Data warehouse/4. Characteristics of a Data Warehouse.mp430.04MB
  87. 3. Business Intelligence/1. What is Business Intelligence.mp416.76MB
  88. 3. Business Intelligence/2. Business Intelligence -Extended Explanation.mp48.78MB
  89. 3. Business Intelligence/3. Uses of Business Intelligence.mp416.46MB
  90. 3. Business Intelligence/4. Tools used for (in) Business Intelligence.mp413.75MB
  91. 4. Data Warehouse Architectures/1. Enterprise Architecture or Centralized Architecture.mp49.3MB
  92. 4. Data Warehouse Architectures/2. Federated Architecture.mp46.47MB
  93. 4. Data Warehouse Architectures/3. Multi-Tired Architecture.mp47.25MB
  94. 4. Data Warehouse Architectures/4. Components of a Data Warehouse.mp48.02MB
  95. 4. Data Warehouse Architectures/5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.mp49.74MB
  96. 4. Data Warehouse Architectures/6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.mp48.4MB
  97. 4. Data Warehouse Architectures/7. Advantages of Traditional warehouse.mp45.35MB
  98. 4. Data Warehouse Architectures/8. Limitations of Traditional Data Warehouses.mp411.77MB
  99. 5. ODS - Operational Data Store/1. What is ODS.mp48.03MB
  100. 5. ODS - Operational Data Store/2. Define ODS.mp414.42MB
  101. 5. ODS - Operational Data Store/3. Staging Vs ODS.mp437.92MB
  102. 5. ODS - Operational Data Store/4. Differences between ODS,DWH, OLTP, OLAP, DSS.mp412.18MB
  103. 6. OLAP/1. OLAP Overview.mp410.35MB
  104. 6. OLAP/2. OLTP Vs OLAP - Part 1_U.mp48.74MB
  105. 6. OLAP/3. OLTP Vs OLAP - Part 2.mp411.27MB
  106. 6. OLAP/4. OLAP Architecture - MOLAP.mp411.38MB
  107. 6. OLAP/5. ROLAP.mp47.39MB
  108. 6. OLAP/6. HOLAP.mp45.08MB
  109. 6. OLAP/7. DOLAP.mp44.01MB
  110. 7. Data Mart/1. What is a Data Mart.mp44.14MB
  111. 7. Data Mart/2. Fundamental Difference between DWH and DM.mp41.97MB
  112. 7. Data Mart/3. Advantages of a Data Mart.mp46.64MB
  113. 7. Data Mart/4. Characteristics of a Data Mart.mp47.83MB
  114. 7. Data Mart/5. Disadvantages of a Data Mart.mp47.79MB
  115. 7. Data Mart/6. Mistakes and MisConceptions of a Data Mart.mp46.09MB
  116. 8. Metadata/1. Overview of Metadata.mp46.09MB
  117. 8. Metadata/2. Benefits of Metadata.mp44.89MB
  118. 8. Metadata/3. Types of Metadata.mp413.64MB
  119. 8. Metadata/4. Projects on Metadata.mp414.17MB
  120. 8. Metadata/5. Best Practices for Metadata Setup.mp43.75MB
  121. 8. Metadata/6. Summary.mp49.02MB
  122. 9. Data Modeling/1. What is Data Modeling.mp45.3MB
  123. 9. Data Modeling/2. Data Modeling Techniques.mp410.11MB
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