Data Warehouse Development Process

[TheCornor]

Data Warehouse Development Process

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 67 | 573 MB

Genre: eLearning | Language: English

 

Specific aspects of Data Warehouse Development Process

 

Challenges with data structures

 

Complex business rules/validations

 

Regulatory requirements for various domains like finance, telecom, insurance, Retail and IME

 

Specific aspects of Data Warehouse Development Process

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.

 

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