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TORRENT DETAILS
[FreeTutorials.Us] [UDEMY] Data Warehouse Concepts Basic To Advanced Concepts [FTU]
TORRENT SUMMARY
Status:
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• In this course, you would be learning all the concepts and terminologies related to the Datawarehouse , such as the OLTP, OLAP, Dimensions, Facts and much more, along with other concepts related to it such as what is meant by Start Schema, Snow flake Schema, other options available and their differences.
• It also explains how the data is managed with in the Data Warehouse and explains the process of reading and writing data onto the Warehouse. Later in the course you would also learn the basics of Data Modelling and how to start with it logically and physically. You would also learn all the concepts related to Facts, Dimensions, Aggregations and commonly used techniques of ETL.
• Upon completion of this course, you would have a clear idea about, all the concepts related to the Data Warehouse, that should be sufficient to help you start off with the next step of becoming an ETL developer or Administering the Data warehouse environment with the help of various tools.
• All the Best and Happy Learning !
Course content
all 122 lectures 07:04:21
Requirements
• Basic understanding of the IT (Software) industry
• Familiar with the basic concept of Database/RDBMS.
Description
In this course, you will learn all the concepts and terminologies related to the Data Warehouse , such as the OLTP, OLAP, Dimensions, Facts and much more, along with other concepts related to it such as what is meant by Start Schema, Snow flake Schema, other options available and their differences. It also explains how the data is managed with in the Data Warehouse and explains the process of reading and writing data onto the Warehouse. Later in the course you would also learn the basics of Data Modelling and how to start with it logically and physically. You would also learn all the concepts related to Facts, Dimensions, Aggregations and commonly used techniques of ETL. Upon completion of this course, you would have a clear idea about, all the concepts related to the Data Warehouse, that should be sufficient to help you start off with the next step of becoming an ETL developer or Administering the Data warehouse environment with the help of various tools. All the Best and Happy Learning !
Who this course is for:
• This Course is intended for freshers who are new to the Data Warehouse world, Application/ETL developers, Mainframe develoeprs, database administrators, system administrators, and database application developers who design, maintain, and use data warehouses.
• Recent graduates looking to get a job in the IT Industry
• Finance professionals wanting to learn about Data Warehouses for reporting and analysis purposes, businesses looking to update and improve on data storage, analysis, and reporting processes.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
0. Websites you may like/How you can help Team-FTU.txt
229 B
1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp4
27.3 MB
1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.srt
8.3 KB
1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.vtt
7.3 KB
10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.mp4
3.3 MB
10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.srt
3.7 KB
10. Entity Relational Data Model/1. ER - (Entity Relation) Data Model.vtt
3.3 KB
10. Entity Relational Data Model/10. ER Data Model - Notation.mp4
2.1 MB
10. Entity Relational Data Model/10. ER Data Model - Notation.srt
3.1 KB
10. Entity Relational Data Model/10. ER Data Model - Notation.vtt
2.7 KB
10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.mp4
1.6 MB
10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.srt
1.8 KB
10. Entity Relational Data Model/11. ER Data Model - Logical Data Model.vtt
1.5 KB
10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.mp4
2 MB
10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.srt
3.1 KB
10. Entity Relational Data Model/12. ER Data Model - Moving from Logical Data Model to Physical Data Model.vtt
2.7 KB
10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.mp4
2.9 MB
10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.srt
4.6 KB
10. Entity Relational Data Model/13. ER Data Model - Differences between CDM, LDM and PDM.vtt
4 KB
10. Entity Relational Data Model/14. ER Data Model - Disadvantages.mp4
3.1 MB
10. Entity Relational Data Model/14. ER Data Model - Disadvantages.srt
4.6 KB
10. Entity Relational Data Model/14. ER Data Model - Disadvantages.vtt
4 KB
10. Entity Relational Data Model/2. ER Data Model - What is Entity.mp4
1.7 MB
10. Entity Relational Data Model/2. ER Data Model - What is Entity.srt
2.5 KB
10. Entity Relational Data Model/2. ER Data Model - What is Entity.vtt
2.2 KB
10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.mp4
3.7 MB
10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.srt
4.6 KB
10. Entity Relational Data Model/3. ER Data Model - Types of Entities - Part 1.vtt
4.1 KB
10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.mp4
1.8 MB
10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.srt
2.3 KB
10. Entity Relational Data Model/4. ER Data Model - Types of Entities - Part 2.vtt
2 KB
10. Entity Relational Data Model/5. ER Data Model - Attributes.mp4
1.8 MB
10. Entity Relational Data Model/5. ER Data Model - Attributes.srt
2.2 KB
10. Entity Relational Data Model/5. ER Data Model - Attributes.vtt
2 KB
10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.mp4
3.2 MB
10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.srt
5.3 KB
10. Entity Relational Data Model/6. ER Data Model - Types of Attributes.vtt
4.6 KB
10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.mp4
2.7 MB
10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.srt
3.4 KB
10. Entity Relational Data Model/7. ER Data Model - Entity-Set and Keys.vtt
2.9 KB
10. Entity Relational Data Model/8. ER Data Model - Identifier.mp4
1.5 MB
10. Entity Relational Data Model/8. ER Data Model - Identifier.srt
2.4 KB
10. Entity Relational Data Model/8. ER Data Model - Identifier.vtt
2.1 KB
10. Entity Relational Data Model/9. ER Data Model - Relationship.mp4
1.2 MB
10. Entity Relational Data Model/9. ER Data Model - Relationship.srt
1.5 KB
10. Entity Relational Data Model/9. ER Data Model - Relationship.vtt
1.4 KB
11. Dimensional Model/1. What is Dimension Modelling.mp4
5.1 MB
11. Dimensional Model/1. What is Dimension Modelling.srt
5.7 KB
11. Dimensional Model/1. What is Dimension Modelling.vtt
5 KB
11. Dimensional Model/10. Star Schema.mp4
4.2 MB
11. Dimensional Model/10. Star Schema.srt
6.7 KB
11. Dimensional Model/10. Star Schema.vtt
5.8 KB
11. Dimensional Model/11. SnowFlake Schema.mp4
3.1 MB
11. Dimensional Model/11. SnowFlake Schema.srt
4.2 KB
11. Dimensional Model/11. SnowFlake Schema.vtt
3.7 KB
11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.mp4
2.3 MB
11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.srt
2.8 KB
11. Dimensional Model/12. Galaxy Schema or Fact Constellation Schema.vtt
2.4 KB
11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.mp4
6 MB
11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.srt
6.9 KB
11. Dimensional Model/13. Differences between Star Schema and SnowFlake Schema.vtt