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[FreeTutorials.Us] [UDEMY] Data Warehouse Concepts Basic to Advanced concepts [FTU]

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种子名称: [FreeTutorials.Us] [UDEMY] Data Warehouse Concepts Basic to Advanced concepts [FTU]
文件类型: 视频
文件数目: 122个文件
文件大小: 550.87 MB
收录时间: 2019-12-7 18:24
已经下载: 3
资源热度: 151
最近下载: 2024-11-10 15:35

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[FreeTutorials.Us] [UDEMY] Data Warehouse Concepts Basic to Advanced concepts [FTU].torrent
  • 1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp427.25MB
  • 10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.mp43.29MB
  • 10. Entity Relational Data Model/10. ER Data Model - Notation.mp42.06MB
  • 10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.mp41.65MB
  • 10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.mp42MB
  • 10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.mp42.88MB
  • 10. Entity Relational Data Model/14. ER Data Model - Disadvantages.mp43.07MB
  • 10. Entity Relational Data Model/2. ER Data Model - What is Entity.mp41.69MB
  • 10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.mp43.7MB
  • 10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.mp41.84MB
  • 10. Entity Relational Data Model/5. ER Data Model - Attributes.mp41.77MB
  • 10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.mp43.17MB
  • 10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.mp42.72MB
  • 10. Entity Relational Data Model/8. ER Data Model - Identifier.mp41.51MB
  • 10. Entity Relational Data Model/9. ER Data Model - Relationship.mp41.18MB
  • 11. Dimensional Model/1. What is Dimension Modelling.mp45.06MB
  • 11. Dimensional Model/10. Star Schema.mp44.22MB
  • 11. Dimensional Model/11. SnowFlake Schema.mp43.14MB
  • 11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.mp42.29MB
  • 11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.mp45.95MB
  • 11. Dimensional Model/14. Conformed Dimension.mp45.1MB
  • 11. Dimensional Model/15. Junk Dimension.mp42.5MB
  • 11. Dimensional Model/16. Degenerate Dimension.mp43.2MB
  • 11. Dimensional Model/17. Slowly Changing Dimensions - Intro and Example Creation.mp414.6MB
  • 11. Dimensional Model/18. Slowly Changing Dimensions - Type 1, 2 and 3.mp419.12MB
  • 11. Dimensional Model/19. Slowly Changing Dimensions - Summary.mp44.11MB
  • 11. Dimensional Model/2. Benefits of Dimensional Modelling.mp41.41MB
  • 11. Dimensional Model/20. Step by Step approach to set up the Dimensional Model using a retail case study.mp46.48MB
  • 11. Dimensional Model/21. ER Model Vs Dimensional Model.mp46.61MB
  • 11. Dimensional Model/3. What is a Dimension.mp42.44MB
  • 11. Dimensional Model/4. What is a Fact.mp41.84MB
  • 11. Dimensional Model/5. Additive Facts.mp41.83MB
  • 11. Dimensional Model/6. Semi Additive Facts.mp42.35MB
  • 11. Dimensional Model/7. Non-Additive Facts.mp41.31MB
  • 11. Dimensional Model/8. FactLess Facts.mp42.25MB
  • 11. Dimensional Model/9. What is a Surrogate key.mp42.87MB
  • 12. DWH Indexes/1. What is an Index.mp41.77MB
  • 12. DWH Indexes/2. Bitmap Index.mp43.16MB
  • 12. DWH Indexes/3. B-Tree index.mp41.56MB
  • 12. DWH Indexes/4. Bitmap Index Vs B Tree Index.mp42.98MB
  • 13. Data Integration and ETL/1. What is Data Integration.mp49.49MB
  • 13. Data Integration and ETL/2. What is ETL.mp44.29MB
  • 13. Data Integration and ETL/3. Common Questions and Summary.mp43.01MB
  • 14. ETL Vs ELT/1. ETL - Explained.mp45.79MB
  • 14. ETL Vs ELT/2. ELT - Explained.mp44.81MB
  • 14. ETL Vs ELT/3. ETL Vs ELT.mp42.24MB
  • 15. ETL - Extraction Transformation & Loading/1. Build Vs Buy.mp410.06MB
  • 15. ETL - Extraction Transformation & Loading/2. ETL Tools for Data Warehouses.mp41.66MB
  • 15. ETL - Extraction Transformation & Loading/3. Extraction Methods in Data Warehouses.mp43.77MB
  • 16. Typical Roles In DWH Project/1. Project Sponsor.mp46.52MB
  • 16. Typical Roles In DWH Project/10. ETL TestersQA Group.mp42.3MB
  • 16. Typical Roles In DWH Project/11. DB UNIX Network Admins.mp41.1MB
  • 16. Typical Roles In DWH Project/12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.mp48.71MB
  • 16. Typical Roles In DWH Project/13. Final Note about the Roles.mp42.02MB
  • 16. Typical Roles In DWH Project/2. Project Manager.mp41.71MB
  • 16. Typical Roles In DWH Project/3. Functional Analyst or Business Analyst.mp42.73MB
  • 16. Typical Roles In DWH Project/4. SME - Subject Matter Expert.mp413.19MB
  • 16. Typical Roles In DWH Project/5. DW BI Architect.mp43.46MB
  • 16. Typical Roles In DWH Project/6. Data Modeler.mp46.29MB
  • 16. Typical Roles In DWH Project/7. DWH Tech Admin.mp41.27MB
  • 16. Typical Roles In DWH Project/8. ETL Developers.mp42.29MB
  • 16. Typical Roles In DWH Project/9. BI OLAP Developers.mp41.91MB
  • 17. DWBIETL Implementation Approach/1. Different phases in DWBIETL Implementation Approach.mp41.52MB
  • 17. DWBIETL Implementation Approach/10. Data Access Types - Exception Reporting.mp41.17MB
  • 17. DWBIETL Implementation Approach/11. Data Access Types - Calculations.mp42MB
  • 17. DWBIETL Implementation Approach/12. Data Access Types - Graphics and Visualization.mp41.27MB
  • 17. DWBIETL Implementation Approach/13. Data Access Types -Data Entry Options.mp41.96MB
  • 17. DWBIETL Implementation Approach/14. Data Access Types - Customization.mp41.04MB
  • 17. DWBIETL Implementation Approach/15. Data Access Types - WebBased Reporting.mp4877.11KB
  • 17. DWBIETL Implementation Approach/16. Data Access Types - BroadCasting.mp41.6MB
  • 17. DWBIETL Implementation Approach/17. Deploy.mp41.91MB
  • 17. DWBIETL Implementation Approach/18. Iterative Approach.mp43.71MB
  • 17. DWBIETL Implementation Approach/2. Knowledge Capture Sessions.mp43.83MB
  • 17. DWBIETL Implementation Approach/3. Requirements.mp48.87MB
  • 17. DWBIETL Implementation Approach/4. Architecture phases.mp44.77MB
  • 17. DWBIETL Implementation Approach/5. Data ModelDatabase.mp41.56MB
  • 17. DWBIETL Implementation Approach/6. ETL Phase.mp42.83MB
  • 17. DWBIETL Implementation Approach/7. Data Access Phase.mp42.64MB
  • 17. DWBIETL Implementation Approach/8. Data Access Types - Selection.mp41.73MB
  • 17. DWBIETL Implementation Approach/9. Data Access Types - Drilling Down.mp41.53MB
  • 18. Retired Lectures/1. ETL Vs ELT.mp410.1MB
  • 19. Bonus Section/1. Links to other courses.mp48.21MB
  • 2. Brief about the Data warehouse/1. Is Data Warehouse still relevant in the age of Big Data.mp417.83MB
  • 2. Brief about the Data warehouse/2. Why do we need a Data Warehouse.mp423.59MB
  • 2. Brief about the Data warehouse/3. What is a Data Warehouse.mp419.73MB
  • 2. Brief about the Data warehouse/4. Characteristics of a Data Warehouse.mp414.75MB
  • 3. Business Intelligence/1. What is Business Intelligence.mp48.66MB
  • 3. Business Intelligence/2. Business Intelligence -Extended Explanation.mp44.04MB
  • 3. Business Intelligence/3. Uses of Business Intelligence.mp47.3MB
  • 3. Business Intelligence/4. Tools used for (in) Business Intelligence.mp46.96MB
  • 4. Data Warehouse Architectures/1. Enterprise Architecture or Centralized Architecture.mp44.68MB
  • 4. Data Warehouse Architectures/2. Federated Architecture.mp43.43MB
  • 4. Data Warehouse Architectures/3. Multi-Tired Architecture.mp43.83MB
  • 4. Data Warehouse Architectures/4. Components of a Data Warehouse.mp44.19MB
  • 4. Data Warehouse Architectures/5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.mp44.43MB
  • 4. Data Warehouse Architectures/6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.mp44.19MB
  • 4. Data Warehouse Architectures/7. Advantages of Traditional warehouse.mp42.39MB
  • 4. Data Warehouse Architectures/8. Limitations of Traditional Data Warehouses.mp45.51MB
  • 5. ODS - Operational Data Store/1. What is ODS.mp43.4MB
  • 5. ODS - Operational Data Store/2. Define ODS.mp46.5MB
  • 5. ODS - Operational Data Store/3. Differences between ODS,DWH, OLTP, OLAP, DSS.mp44.99MB
  • 6. OLAP/1. OLAP Overview.mp45.04MB
  • 6. OLAP/2. OLTP Vs OLAP - Part 1_U.mp44.56MB
  • 6. OLAP/3. OLTP Vs OLAP - Part 2.mp45.9MB
  • 6. OLAP/4. OLAP Architecture - MOLAP.mp45.25MB
  • 6. OLAP/5. ROLAP.mp43.27MB
  • 6. OLAP/6. HOLAP.mp42.25MB
  • 6. OLAP/7. DOLAP.mp41.78MB
  • 7. Data Mart/1. What is a Data Mart.mp41.75MB
  • 7. Data Mart/2. Fundamental Difference between DWH and DM.mp4799.74KB
  • 7. Data Mart/3. Advantages of a Data Mart.mp42.97MB
  • 7. Data Mart/4. Characteristics of a Data Mart.mp43.36MB
  • 7. Data Mart/5. Disadvantages of a Data Mart.mp43.36MB
  • 7. Data Mart/6. Mistakes and MisConceptions of a Data Mart.mp42.64MB
  • 8. Metadata/1. Overview of Metadata.mp42.5MB
  • 8. Metadata/2. Benefits of Metadata.mp42.04MB
  • 8. Metadata/3. Types of Metadata.mp45.6MB
  • 8. Metadata/4. Projects on Metadata.mp45.96MB
  • 8. Metadata/5. Best Practices for Metadata Setup.mp41.52MB
  • 8. Metadata/6. Summary.mp43.73MB
  • 9. Data Modeling/1. What is Data Modeling.mp42.17MB
  • 9. Data Modeling/2. Data Modeling Techniques.mp44.36MB