DWH ETL
Data Warehousing and ETL From Scratch, trainer is an experienced Solution Architect
Classes : 20 Days : 2 months Duration : Weekdays / Weekends
Data Warehousing disciplines are riding high on the relevance of Big Data today.
A rewarding career awaits ETL professionals with the ability to analyze data and make the results available to corporate decision makers. Vyom Data Sciences offers this course in data warehousing and ETL to help you take advantage of the career opportunities in Data Warehousing.
After the completion of Data warehousing training, you will be able to:
1. Understand the concept and need of Data warehouse
2. Implement concepts of dimension and fact table
3. Implement data modelling, normalization and schema concepts
4. Model a Data warehouse
5. Implement ETL jobs
This course is a foundation to anyone who aspires to become a Data warehouse Architect, a Data warehouse Developer or a Data warehouse Business Analyst in the field of Data warehousing and Business Intelligence.
The following professionals can go for this course :
1. BI /ETL Professionals
2. Project Managers
3. Testing Professionals
4. Mainframe Professionals
5. Analytics Professionals
6. Software Developers and Architects
A rewarding career awaits ETL professionals with the ability to analyze data and make the results available to corporate decision makers. Vyom Data Sciences offers this course in data warehousing and ETL to help you take advantage of the career opportunities in Data Warehousing.
After the completion of Data warehousing training, you will be able to:
1. Understand the concept and need of Data warehouse
2. Implement concepts of dimension and fact table
3. Implement data modelling, normalization and schema concepts
4. Model a Data warehouse
5. Implement ETL jobs
This course is a foundation to anyone who aspires to become a Data warehouse Architect, a Data warehouse Developer or a Data warehouse Business Analyst in the field of Data warehousing and Business Intelligence.
The following professionals can go for this course :
1. BI /ETL Professionals
2. Project Managers
3. Testing Professionals
4. Mainframe Professionals
5. Analytics Professionals
6. Software Developers and Architects
-The pre-requisites for this course includes basic understanding of Databases and basic Programming Techniques
-What Is Data Warehousing? Types, Definition & Example
-Database vs Data Warehouse: Key Differences
-Data Warehouse Concepts, Architecture and Components
-ETL (Extract, Transform, and Load) Process
-ETL vs ELT: Must Know Differences
-What is Data Modelling? Conceptual, Logical, & Physical Data Models
-What is OLAP (Online Analytical Processing): Cube, Operations & Types
-MOLAP (Multidimensional Online Analytical Processing)
-OLTP vs OLAP: What`s the Difference?
-What is Dimensional Model in Data Warehouse?
-Star and SnowFlake Schema in Data Warehousing
-Data Mart Tutorial: What is Data Mart, Types & Example
-Data Warehouse vs Data Mart: Know the Difference
-What is Data Lake & It`s Architecture
-Data Lake vs Data Warehouse: Know the Difference
-What is Business Intelligence? Definition & Example
-Data Mining Tutorial: Process, Techniques, Tools & Examples
-DataStage Tutorial: Beginner`s Training
-Difference between Data Mining and Data Warehouse
-Difference Between Fact Table and Dimension Table
-Database vs Data Warehouse: Key Differences
-Data Warehouse Concepts, Architecture and Components
-ETL (Extract, Transform, and Load) Process
-ETL vs ELT: Must Know Differences
-What is Data Modelling? Conceptual, Logical, & Physical Data Models
-What is OLAP (Online Analytical Processing): Cube, Operations & Types
-MOLAP (Multidimensional Online Analytical Processing)
-OLTP vs OLAP: What`s the Difference?
-What is Dimensional Model in Data Warehouse?
-Star and SnowFlake Schema in Data Warehousing
-Data Mart Tutorial: What is Data Mart, Types & Example
-Data Warehouse vs Data Mart: Know the Difference
-What is Data Lake & It`s Architecture
-Data Lake vs Data Warehouse: Know the Difference
-What is Business Intelligence? Definition & Example
-Data Mining Tutorial: Process, Techniques, Tools & Examples
-DataStage Tutorial: Beginner`s Training
-Difference between Data Mining and Data Warehouse
-Difference Between Fact Table and Dimension Table
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DWH ETL
Data Warehousing and ETL From Scratch, trainer is an experienced Solution Architect
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.