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Learn the specific aspects of the Data Warehouse Development Process
Updated on Sep, 2026
Programming, Data Science, Big Data
Duration - 3.5 hours
Training 5 or more people ?
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Data is a new asset for the enterprises. And, Data Warehouse stores the data for better insights and knowledge using Business Intelligence. The development of an Enterprise Data Warehouse has more challenges compared to any other software project because of the
Challenges with data structures.
The way data is evaluated for its quality.
Complex business rules/validation.
Different development methods (various SDLC models like the fall model, V model, Agile Model, Incremental model, and Iterative model)
Regulatory requirements for various domains like finance, telecom, insurance, Retail and IME.
Compliance with 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.
Check out the detailed breakdown of what’s inside the course
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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