Data Warehouse Development Process
Specific aspects of Data Warehouse Development Process
Development,Analytics& Intelligence,Data Warehousing
Lectures -64
Duration -3.5 hours
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Course Description
Data is the new asset for the enterprises. And, Data Warehouse store the data for better insights and knowledge using Business Intelligence. Development of an Enterprise Data Warehouse has more challenges compared to any other software projects because of the
Challenges with data structures
The way data is evaluated for it's quality
Complex business rules/validations
Different development methods (various SDLC models like Water Fall model, V model, Agile Model, Incremental model, Iterative model)
Regulatory requirements for various domains like finance, telecom, insurance, Retail and IME
Compliance from third party governing bodies
Extracting data for various visualization purposes
In this course, we talk about the specific aspects of the Data Warehouse Development process taking real time practical situations and how to handle them better using best practices for sustainable, scalable and robust implementations.
Goals
- Understand various stages in Data Warehouse development process
- Various processes like Waterfall model, V model and Agile methods
- Specific aspects of Data Warehouse development process
- Importance of the various phases and the practicality of each phase
- Overview of various issues and Project Management issues to be considered in the Data warehouse and Business Intelligence projects
Prerequisites
- Basics of Data Warehouse Concepts
- Terms and terminologies used in a Data Warehouse and Business Intelligence projects
![Data Warehouse Development Process Data Warehouse Development Process](https://d3mxt5v3yxgcsr.cloudfront.net/courses/2307/course_2307_image.jpg)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Practical Exercises, Documents and Material 01:37 01:37
Different Categories of Data Warehouse Implementations
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Keywords/Terms used in this course
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Methodologies used for Data Warehouse Software Development
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Waterfall Model
11 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
V Model
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Agile Model
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Other SDLC Models
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Which model to choose for the available models?
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Practical Implementation Steps
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Project Planning
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Requirements
8 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Design
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Build and Develop
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Deploy
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Maintenance and Operations
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Review of the completed tasks
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Production Support and Maintenance
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Inf Sid](https://www.tutorialspoint.com/assets/profiles/143009/profile/200_1368-1571536162.jpg)
Inf Sid
Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Power center, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
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