Udemy | Data Warehouse Concepts: Basic to Advanced concepts [FTU]

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Udemy | Data Warehouse Concepts: Basic to Advanced concepts [FTU] (Size: 553.34 MB)

	0. Websites you may like
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	4. (FTUApps.com) Download Cracked Developers Applications For Free.url	239 B
	How you can help Team-FTU.txt	229 B
	1. Introduction
	1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp4	27.25 MB
	1. Welcome! Thank you for learning the Data Warehouse concepts with me!.srt	8.27 KB
	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	3.29 MB
	1. ER - (Entity Relation) Data Model.srt	3.74 KB
	1. ER - (Entity Relation) Data Model.vtt	3.31 KB
	10. ER Data Model - Notation.mp4	2.06 MB
	10. ER Data Model - Notation.srt	3.06 KB
	10. ER Data Model - Notation.vtt	2.67 KB
	11. ER Data Model - Logical Data Model.mp4	1.65 MB
	11. ER Data Model - Logical Data Model.srt	1.75 KB
	11. ER Data Model - Logical Data Model.vtt	1.55 KB
	12. ER Data Model - Moving from Logical Data Model to Physical Data Model.mp4	2 MB
	12. ER Data Model - Moving from Logical Data Model to Physical Data Model.srt	3.1 KB
	12. ER Data Model - Moving from Logical Data Model to Physical Data Model.vtt	2.73 KB
	13. ER Data Model - Differences between CDM, LDM and PDM.mp4	2.88 MB
	13. ER Data Model - Differences between CDM, LDM and PDM.srt	4.55 KB
	13. ER Data Model - Differences between CDM, LDM and PDM.vtt	3.97 KB
	14. ER Data Model - Disadvantages.mp4	3.07 MB
	14. ER Data Model - Disadvantages.srt	4.61 KB
	14. ER Data Model - Disadvantages.vtt	4.02 KB
	2. ER Data Model - What is Entity.mp4	1.69 MB
	2. ER Data Model - What is Entity.srt	2.46 KB
	2. ER Data Model - What is Entity.vtt	2.16 KB
	3. ER Data Model - Types of Entities - Part 1.mp4	3.7 MB
	3. ER Data Model - Types of Entities - Part 1.srt	4.63 KB
	3. ER Data Model - Types of Entities - Part 1.vtt	4.11 KB
	4. ER Data Model - Types of Entities - Part 2.mp4	1.84 MB
	4. ER Data Model - Types of Entities - Part 2.srt	2.31 KB
	4. ER Data Model - Types of Entities - Part 2.vtt	2.03 KB
	5. ER Data Model - Attributes.mp4	1.77 MB
	5. ER Data Model - Attributes.srt	2.25 KB
	5. ER Data Model - Attributes.vtt	1.98 KB
	6. ER Data Model - Types of Attributes.mp4	3.17 MB
	6. ER Data Model - Types of Attributes.srt	5.3 KB
	6. ER Data Model - Types of Attributes.vtt	4.59 KB
	7. ER Data Model - Entity-Set and Keys.mp4	2.72 MB
	7. ER Data Model - Entity-Set and Keys.srt	3.39 KB
	7. ER Data Model - Entity-Set and Keys.vtt	2.94 KB
	8. ER Data Model - Identifier.mp4	1.51 MB
	8. ER Data Model - Identifier.srt	2.42 KB
	8. ER Data Model - Identifier.vtt	2.1 KB
	9. ER Data Model - Relationship.mp4	1.18 MB
	9. ER Data Model - Relationship.srt	1.54 KB
	9. ER Data Model - Relationship.vtt	1.36 KB
	11. Dimensional Model
	1. What is Dimension Modelling.mp4	5.06 MB
	1. What is Dimension Modelling.srt	5.66 KB
	1. What is Dimension Modelling.vtt	4.95 KB
	10. Star Schema.mp4	4.22 MB
	10. Star Schema.srt	6.66 KB
	10. Star Schema.vtt	5.76 KB
	11. SnowFlake Schema.mp4	3.14 MB
	11. SnowFlake Schema.srt	4.19 KB
	11. SnowFlake Schema.vtt	3.66 KB
	12. Galaxy Schema or Fact Constellation Schema.mp4	2.29 MB
	12. Galaxy Schema or Fact Constellation Schema.srt	2.8 KB
	12. Galaxy Schema or Fact Constellation Schema.vtt	2.45 KB
	13. Differences between Star Schema and SnowFlake Schema.mp4	5.95 MB
	13. Differences between Star Schema and SnowFlake Schema.srt	6.93 KB
	13. Differences between Star Schema and SnowFlake Schema.vtt	6.1 KB
	14. Conformed Dimension.mp4	5.1 MB
	14. Conformed Dimension.srt	8.52 KB
	14. Conformed Dimension.vtt	7.39 KB
	15. Junk Dimension.mp4	2.5 MB
	15. Junk Dimension.srt	3.74 KB
	15. Junk Dimension.vtt	3.26 KB
	16. Degenerate Dimension.mp4	3.2 MB
	16. Degenerate Dimension.srt	4.4 KB
	16. Degenerate Dimension.vtt	3.86 KB
	17. Slowly Changing Dimensions - Intro and Example Creation.mp4	14.6 MB
	17. Slowly Changing Dimensions - Intro and Example Creation.srt	6.28 KB
	17. Slowly Changing Dimensions - Intro and Example Creation.vtt	5.43 KB
	18. Slowly Changing Dimensions - Type 1, 2 and 3.mp4	19.12 MB
	18. Slowly Changing Dimensions - Type 1, 2 and 3.srt	14.66 KB
	18. Slowly Changing Dimensions - Type 1, 2 and 3.vtt	12.42 KB
	19. Slowly Changing Dimensions - Summary.mp4	4.11 MB
	19. Slowly Changing Dimensions - Summary.srt	3.85 KB
	19. Slowly Changing Dimensions - Summary.vtt	3.38 KB
	2. Benefits of Dimensional Modelling.mp4	1.41 MB
	2. Benefits of Dimensional Modelling.srt	2.19 KB
	2. Benefits of Dimensional Modelling.vtt	1.92 KB
	20. Step by Step approach to set up the Dimensional Model using a retail case study.mp4	6.48 MB
	20. Step by Step approach to set up the Dimensional Model using a retail case study.srt	8.75 KB
	20. Step by Step approach to set up the Dimensional Model using a retail case study.vtt	7.56 KB
	21. ER Model Vs Dimensional Model.mp4	6.61 MB
	21. ER Model Vs Dimensional Model.srt	7.83 KB
	21. ER Model Vs Dimensional Model.vtt	6.89 KB
	3. What is a Dimension.mp4	2.44 MB
	3. What is a Dimension.srt	3.15 KB
	3. What is a Dimension.vtt	2.74 KB
	4. What is a Fact.mp4	1.84 MB
	4. What is a Fact.srt	2.47 KB
	4. What is a Fact.vtt	2.15 KB
	5. Additive Facts.mp4	1.83 MB
	5. Additive Facts.srt	1.97 KB
	5. Additive Facts.vtt	1.71 KB
	6. Semi Additive Facts.mp4	2.35 MB
	6. Semi Additive Facts.srt	3.28 KB
	6. Semi Additive Facts.vtt	2.82 KB
	7. Non-Additive Facts.mp4	1.31 MB
	7. Non-Additive Facts.srt	1.85 KB
	7. Non-Additive Facts.vtt	1.6 KB
	8. FactLess Facts.mp4	2.25 MB
	8. FactLess Facts.srt	2.94 KB
	8. FactLess Facts.vtt	2.59 KB
	9. What is a Surrogate key.mp4	2.87 MB
	9. What is a Surrogate key.srt	4.75 KB
	9. What is a Surrogate key.vtt	4.13 KB
	12. DWH Indexes
	1. What is an Index.mp4	1.77 MB
	1. What is an Index.srt	2.56 KB
	1. What is an Index.vtt	2.22 KB
	2. Bitmap Index.mp4	3.16 MB
	2. Bitmap Index.srt	4.69 KB
	2. Bitmap Index.vtt	4.11 KB
	3. B-Tree index.mp4	1.56 MB
	3. B-Tree index.srt	2.21 KB
	3. B-Tree index.vtt	1.93 KB
	4. Bitmap Index Vs B Tree Index.mp4	2.98 MB
	4. Bitmap Index Vs B Tree Index.srt	3.84 KB
	4. Bitmap Index Vs B Tree Index.vtt	3.39 KB
	13. Data Integration and ETL
	1. What is Data Integration.mp4	9.49 MB
	1. What is Data Integration.srt	8.18 KB
	1. What is Data Integration.vtt	7.16 KB
	2. What is ETL.mp4	4.29 MB
	2. What is ETL.srt	5.58 KB
	2. What is ETL.vtt	4.83 KB
	3. Common Questions and Summary.mp4	3.01 MB
	3. Common Questions and Summary.srt	3.48 KB
	3. Common Questions and Summary.vtt	3.04 KB
	14. ETL Vs ELT
	1. ETL - Explained.mp4	5.79 MB
	1. ETL - Explained.srt	8.42 KB
	1. ETL - Explained.vtt	7.42 KB
	2. ELT - Explained.mp4	4.81 MB
	2. ELT - Explained.srt	7.84 KB
	2. ELT - Explained.vtt	6.86 KB
	3. ETL Vs ELT.mp4	2.24 MB
	3. ETL Vs ELT.srt	2.98 KB
	3. ETL Vs ELT.vtt	2.65 KB
	15. ETL - Extraction Transformation & Loading
	1. Build Vs Buy.mp4	10.06 MB
	1. Build Vs Buy.srt	5.75 KB
	1. Build Vs Buy.vtt	5.11 KB
	2. ETL Tools for Data Warehouses.mp4	1.66 MB
	2. ETL Tools for Data Warehouses.srt	2.32 KB
	2. ETL Tools for Data Warehouses.vtt	2.03 KB
	3. Extraction Methods in Data Warehouses.mp4	3.77 MB
	3. Extraction Methods in Data Warehouses.srt	7.2 KB
	3. Extraction Methods in Data Warehouses.vtt	6.31 KB
	16. Typical Roles In DWH Project
	1. Project Sponsor.mp4	6.52 MB
	1. Project Sponsor.srt	4.19 KB
	1. Project Sponsor.vtt	3.72 KB
	10. ETL TestersQA Group.mp4	2.3 MB
	10. ETL TestersQA Group.srt	2.49 KB
	10. ETL TestersQA Group.vtt	2.19 KB
	11. DB UNIX Network Admins.mp4	1.1 MB
	11. DB UNIX Network Admins.srt	1.12 KB
	11. DB UNIX Network Admins.vtt	1.01 KB
	12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.mp4	8.71 MB
	12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.srt	12.25 KB
	12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.vtt	10.72 KB
	13. Final Note about the Roles.mp4	2.02 MB
	13. Final Note about the Roles.srt	2.59 KB
	13. Final Note about the Roles.vtt	2.28 KB
	2. Project Manager.mp4	1.71 MB
	2. Project Manager.srt	2.28 KB
	2. Project Manager.vtt	2.01 KB
	3. Functional Analyst or Business Analyst.mp4	2.73 MB
	3. Functional Analyst or Business Analyst.srt	3.9 KB
	3. Functional Analyst or Business Analyst.vtt	3.41 KB
	4. SME - Subject Matter Expert.mp4	13.19 MB
	4. SME - Subject Matter Expert.srt	5.64 KB
	4. SME - Subject Matter Expert.vtt	4.93 KB
	5. DW BI Architect.mp4	3.46 MB
	5. DW BI Architect.srt	3.81 KB
	5. DW BI Architect.vtt	3.36 KB
	6. Data Modeler.mp4	6.29 MB
	6. Data Modeler.srt	10.74 KB
	6. Data Modeler.vtt	9.48 KB
	6.1 Roles and Responsibilities of a Data Modeler.docx.docx	15.99 KB
	7. DWH Tech Admin.mp4	1.27 MB
	7. DWH Tech Admin.srt	1.56 KB
	7. DWH Tech Admin.vtt	1.38 KB
	8. ETL Developers.mp4	2.29 MB
	8. ETL Developers.srt	2.35 KB
	8. ETL Developers.vtt	2.1 KB
	9. BI OLAP Developers.mp4	1.91 MB
	9. BI OLAP Developers.srt	1.66 KB
	9. BI OLAP Developers.vtt	1.49 KB
	17. DWBIETL Implementation Approach
	1. Different phases in DWBIETL Implementation Approach.mp4	1.52 MB
	1. Different phases in DWBIETL Implementation Approach.srt	2.38 KB
	1. Different phases in DWBIETL Implementation Approach.vtt	2.1 KB
	10. Data Access Types - Exception Reporting.mp4	1.17 MB
	10. Data Access Types - Exception Reporting.srt	818 B
	10. Data Access Types - Exception Reporting.vtt	738 B
	11. Data Access Types - Calculations.mp4	2 MB
	11. Data Access Types - Calculations.srt	1.66 KB
	11. Data Access Types - Calculations.vtt	1.49 KB
	12. Data Access Types - Graphics and Visualization.mp4	1.27 MB
	12. Data Access Types - Graphics and Visualization.srt	1.07 KB
	12. Data Access Types - Graphics and Visualization.vtt	976 B
	13. Data Access Types -Data Entry Options.mp4	1.96 MB
	13. Data Access Types -Data Entry Options.srt	2.86 KB
	13. Data Access Types -Data Entry Options.vtt	2.49 KB
	14. Data Access Types - Customization.mp4	1.04 MB
	14. Data Access Types - Customization.srt	1.33 KB
	14. Data Access Types - Customization.vtt	1.16 KB
	15. Data Access Types - WebBased Reporting.mp4	877.11 KB
	15. Data Access Types - WebBased Reporting.srt	1.07 KB
	15. Data Access Types - WebBased Reporting.vtt	970 B
	16. Data Access Types - BroadCasting.mp4	1.6 MB
	16. Data Access Types - BroadCasting.srt	1.35 KB
	16. Data Access Types - BroadCasting.vtt	1.18 KB
	17. Deploy.mp4	1.91 MB
	17. Deploy.srt	1.99 KB
	17. Deploy.vtt	1.79 KB
	18. Iterative Approach.mp4	3.71 MB
	18. Iterative Approach.srt	3.65 KB
	18. Iterative Approach.vtt	3.26 KB
	2. Knowledge Capture Sessions.mp4	3.83 MB
	2. Knowledge Capture Sessions.srt	4.58 KB
	2. Knowledge Capture Sessions.vtt	3.99 KB
	3. Requirements.mp4	8.87 MB
	3. Requirements.srt	8.66 KB
	3. Requirements.vtt	7.59 KB
	4. Architecture phases.mp4	4.77 MB
	4. Architecture phases.srt	5.58 KB
	4. Architecture phases.vtt	4.91 KB
	5. Data ModelDatabase.mp4	1.56 MB
	5. Data ModelDatabase.srt	1.89 KB
	5. Data ModelDatabase.vtt	1.67 KB
	6. ETL Phase.mp4	2.83 MB
	6. ETL Phase.srt	3.15 KB
	6. ETL Phase.vtt	2.79 KB
	7. Data Access Phase.mp4	2.64 MB
	7. Data Access Phase.srt	2.34 KB
	7. Data Access Phase.vtt	2.06 KB
	8. Data Access Types - Selection.mp4	1.73 MB
	8. Data Access Types - Selection.srt	1.92 KB
	8. Data Access Types - Selection.vtt	1.68 KB
	9. Data Access Types - Drilling Down.mp4	1.53 MB
	9. Data Access Types - Drilling Down.srt	984 B
	9. Data Access Types - Drilling Down.vtt	880 B
	18. Retired Lectures
	1. ETL Vs ELT.mp4	10.1 MB
	1. ETL Vs ELT.srt	3.06 KB
	1. ETL Vs ELT.vtt	2.71 KB
	19. Bonus Section
	1. Links to other courses.mp4	8.21 MB
	1. Links to other courses.srt	2.55 KB
	1. Links to other courses.vtt	2.23 KB
	2. Brief about the Data warehouse
	1. Is Data Warehouse still relevant in the age of Big Data.mp4	17.83 MB
	1. Is Data Warehouse still relevant in the age of Big Data.srt	4.89 KB
	1. Is Data Warehouse still relevant in the age of Big Data.vtt	4.3 KB
	2. Why do we need a Data Warehouse.mp4	23.59 MB
	2. Why do we need a Data Warehouse.srt	7.5 KB
	2. Why do we need a Data Warehouse.vtt	6.56 KB
	3. What is a Data Warehouse.mp4	19.73 MB
	3. What is a Data Warehouse.srt	6.67 KB
	3. What is a Data Warehouse.vtt	5.91 KB
	4. Characteristics of a Data Warehouse.mp4	14.75 MB
	4. Characteristics of a Data Warehouse.srt	6.81 KB
	4. Characteristics of a Data Warehouse.vtt	5.97 KB
	4.1 Overall DWH Concepts handbook.pdf.pdf	1.02 MB
	3. Business Intelligence
	1. What is Business Intelligence.mp4	8.66 MB
	1. What is Business Intelligence.srt	6.27 KB
	1. What is Business Intelligence.vtt	5.56 KB
	2. Business Intelligence -Extended Explanation.mp4	4.04 MB
	2. Business Intelligence -Extended Explanation.srt	4.22 KB
	2. Business Intelligence -Extended Explanation.vtt	3.71 KB
	3. Uses of Business Intelligence.mp4	7.3 MB
	3. Uses of Business Intelligence.srt	9.63 KB
	3. Uses of Business Intelligence.vtt	8.41 KB
	4. Tools used for (in) Business Intelligence.mp4	6.96 MB
	4. Tools used for (in) Business Intelligence.srt	7.23 KB
	4. Tools used for (in) Business Intelligence.vtt	6.37 KB
	4. Data Warehouse Architectures
	1. Enterprise Architecture or Centralized Architecture.mp4	4.68 MB
	1. Enterprise Architecture or Centralized Architecture.srt	5.79 KB
	1. Enterprise Architecture or Centralized Architecture.vtt	5.11 KB
	2. Federated Architecture.mp4	3.43 MB
	2. Federated Architecture.srt	4.1 KB
	2. Federated Architecture.vtt	3.58 KB
	3. Multi-Tired Architecture.mp4	3.83 MB
	3. Multi-Tired Architecture.srt	3.81 KB
	3. Multi-Tired Architecture.vtt	3.38 KB
	4. Components of a Data Warehouse.mp4	4.19 MB
	4. Components of a Data Warehouse.srt	5.18 KB
	4. Components of a Data Warehouse.vtt	4.53 KB
	5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.mp4	4.43 MB
	5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.srt	5.82 KB
	5. Purpose of a Staging Area in Data Warehouse Architecture - Part 1.vtt	5.06 KB
	6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.mp4	4.19 MB
	6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.srt	4.75 KB
	6. Purpose of a Staging Area in Data Warehouse Architecture - Part 2.vtt	4.13 KB
	7. Advantages of Traditional warehouse.mp4	2.39 MB
	7. Advantages of Traditional warehouse.srt	3.16 KB
	7. Advantages of Traditional warehouse.vtt	2.78 KB
	8. Limitations of Traditional Data Warehouses.mp4	5.51 MB
	8. Limitations of Traditional Data Warehouses.srt	7.53 KB
	8. Limitations of Traditional Data Warehouses.vtt	6.61 KB
	5. ODS - Operational Data Store
	1. What is ODS.mp4	3.4 MB
	1. What is ODS.srt	2.63 KB
	1. What is ODS.vtt	2.32 KB
	2. Define ODS.mp4	6.5 MB
	2. Define ODS.srt	10.73 KB
	2. Define ODS.vtt	9.31 KB
	3. Differences between ODS,DWH, OLTP, OLAP, DSS.mp4	4.99 MB
	3. Differences between ODS,DWH, OLTP, OLAP, DSS.srt	5.19 KB
	3. Differences between ODS,DWH, OLTP, OLAP, DSS.vtt	4.45 KB
	3.1 differences-between OLTP, OLAP, ODS, DWH, DSS Sytems.pdf.pdf	466.31 KB
	6. OLAP
	1. OLAP Overview.mp4	5.04 MB
	1. OLAP Overview.srt	7.18 KB
	1. OLAP Overview.vtt	6.27 KB
	2. OLTP Vs OLAP - Part 1_U.mp4	4.56 MB
	2. OLTP Vs OLAP - Part 1_U.srt	5.27 KB
	2. OLTP Vs OLAP - Part 1_U.vtt	4.62 KB
	3. OLTP Vs OLAP - Part 2.mp4	5.9 MB
	3. OLTP Vs OLAP - Part 2.srt	7.27 KB
	3. OLTP Vs OLAP - Part 2.vtt	6.39 KB
	4. OLAP Architecture - MOLAP.mp4	5.25 MB
	4. OLAP Architecture - MOLAP.srt	7.42 KB
	4. OLAP Architecture - MOLAP.vtt	6.55 KB
	5. ROLAP.mp4	3.27 MB
	5. ROLAP.srt	4.36 KB
	5. ROLAP.vtt	3.87 KB
	6. HOLAP.mp4	2.25 MB
	6. HOLAP.srt	3.09 KB
	6. HOLAP.vtt	2.71 KB
	7. DOLAP.mp4	1.78 MB
	7. DOLAP.srt	1.95 KB
	7. DOLAP.vtt	1.71 KB
	7. Data Mart
	1. What is a Data Mart.mp4	1.75 MB
	1. What is a Data Mart.srt	1.9 KB
	1. What is a Data Mart.vtt	1.69 KB
	2. Fundamental Difference between DWH and DM.mp4	799.74 KB
	2. Fundamental Difference between DWH and DM.srt	679 B
	2. Fundamental Difference between DWH and DM.vtt	611 B
	3. Advantages of a Data Mart.mp4	2.97 MB
	3. Advantages of a Data Mart.srt	3.14 KB
	3. Advantages of a Data Mart.vtt	2.79 KB
	4. Characteristics of a Data Mart.mp4	3.36 MB
	4. Characteristics of a Data Mart.srt	5.05 KB
	4. Characteristics of a Data Mart.vtt	4.43 KB
	5. Disadvantages of a Data Mart.mp4	3.36 MB
	5. Disadvantages of a Data Mart.srt	4.08 KB
	5. Disadvantages of a Data Mart.vtt	3.58 KB
	6. Mistakes and MisConceptions of a Data Mart.mp4	2.64 MB
	6. Mistakes and MisConceptions of a Data Mart.srt	2.57 KB
	6. Mistakes and MisConceptions of a Data Mart.vtt	2.25 KB
	8. Metadata
	1. Overview of Metadata.mp4	2.5 MB
	1. Overview of Metadata.srt	2.27 KB
	1. Overview of Metadata.vtt	1.97 KB
	2. Benefits of Metadata.mp4	2.04 MB
	2. Benefits of Metadata.srt	1.83 KB
	2. Benefits of Metadata.vtt	1.62 KB
	3. Types of Metadata.mp4	5.6 MB
	3. Types of Metadata.srt	6.66 KB
	3. Types of Metadata.vtt	5.83 KB
	4. Projects on Metadata.mp4	5.96 MB
	4. Projects on Metadata.srt	7.29 KB
	4. Projects on Metadata.vtt	6.35 KB
	5. Best Practices for Metadata Setup.mp4	1.52 MB
	5. Best Practices for Metadata Setup.srt	1.81 KB
	5. Best Practices for Metadata Setup.vtt	1.61 KB
	6. Summary.mp4	3.73 MB
	6. Summary.srt	3.49 KB
	6. Summary.vtt	3.14 KB
	9. Data Modeling
	1. What is Data Modeling.mp4	2.17 MB
	1. What is Data Modeling.srt	2.45 KB
	1. What is Data Modeling.vtt	2.15 KB
	2. Data Modeling Techniques.mp4	4.36 MB
	2. Data Modeling Techniques.srt	5.08 KB
	2. Data Modeling Techniques.vtt	4.4 KB
▲ 375 total files

Description

For More Udemy Free Courses >>> https://freetutorials.us/
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Forum for discussion >>> https://1hack.us/

Data Warehouse Concepts: Learn the in BI/Data Warehouse/BIG DATA Concepts from scratch and become an expert.

Created by : Sid Inf
Last updated : 5/2019
Language : English
Subtitle + Caption : Included
Torrent Contains : 375 Files, 20 Folders
Course Source : https://www.udemy.com/course/master-datawarehouse-concepts-step-by-step-from-scratch/

What you'll learn

• 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.

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Udemy | Data Warehouse Concepts: Basic to Advanced concepts [FTU]

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