Data Warehouse Development Process (Udemy.com)

Specific aspects of Data Warehouse Development Process

( 84 Reviews )

Created by: Sid Inf

Produced in 2019

What you will learn

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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 82 / 100

Course Description

ata 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 structuresThe way data is evaluated for it's qualityComplex business rules/validationsDifferent 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 IMECompliance from third party governing bodiesExtracting data for various visualization purposes

In this course, we talk about the specific aspects of the Data Warehouse Development process taking real time practicalsituations and how to handle them better using best practices for sustainable, scalable and robust implementations.
Who this course is for:
Freshers/Engineering Graduates who are looking for placementsSoftware Engineers from different technology background who want to explore the Data Warehouse and Business Intelligence development processSoftware Engineers who are already part of any Data Warehouse and Business Intelligence ProjectsProject MangersNon IT professionals who like to learn how data is handled in enterprisesTechnology experts and Team LeadersArchitects and Data ModelersData Scientists and Big Data Experts who want to understand the practical Data Warehouse ProcessDatabase Administrators who want to explore the DWH/ETL/BI areasMainframe developers who want to switch their carrier into the Data Warehouse stream

Time: 4h

Instructor Details

Sid Inf

4.1 Rating
84 Reviews

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 likeInformatica Powercenter, SSIS, ODI andIDQ, Data Virtualization, DVO,MDM.

Reviews

4.1

84 total reviews

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By Pratima Somaji Tandale on 9/12/2020

was expecting some practical information sharing.

By Tung Nguyen on 7/7/2020

Excellent course!

By Varsha Diwan on 5/26/2020

Good

By Bonnie Chan on 5/21/2020

I enjoyed the course. It has given me an overall framework and components to the data warehouse development process. Thanks.

By Malloy, H. Christopher on 5/15/2020

I think the content was solid and useful. However, the lecture format and the density of the lectures, made it challenging to review the lecture material in a sequential or categorical way -- in other words, there were a lot of long-winded attempts to present the concepts and intermingling prose that made the main points the lecturer was making challenging to follow AND catalog. Suggestion: update the style of presentation, use more modern presentation tools outside of PPT, and add more media so students do not get numb looking at static images.

By Abhijeet kumar pandey on 4/23/2020