Data Warehouse Development Process
Specific aspects of Data Warehouse Development Process
Updated on Apr, 2024
Language - English
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
What will you learn in this course:
- 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
What are the prerequisites for this course?
- Basics of Data Warehouse Concepts
- Terms and terminologies used in a Data Warehouse and Business Intelligence projects
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
Keywords/Terms used in this course
5 Lectures
Methodologies used for Data Warehouse Software Development
2 Lectures
Waterfall Model
11 Lectures
V Model
3 Lectures
Agile Model
5 Lectures
Other SDLC Models
1 Lectures
Which model to choose for the available models?
1 Lectures
Practical Implementation Steps
1 Lectures
Project Planning
6 Lectures
Requirements
8 Lectures
Design
7 Lectures
Build and Develop
5 Lectures
Deploy
1 Lectures
Maintenance and Operations
1 Lectures
Review of the completed tasks
3 Lectures
Production Support and Maintenance
1 Lectures
Instructor Details
Inf Sid
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