Master Data Warehousing & Business Intelligence
About the course
A Data Warehouse (DWH) is a central repository of structured data used for reporting and business intelligence. This course provides a comprehensive understanding of data warehouse design, architecture, ETL processes, and optimization techniques.
Led by Kumar, an expert mentor with over 10 years of real-time industry experience, this course covers end-to-end data warehousing solutions. Whether you are a data engineer, business analyst, or IT professional, this course will help you build expertise in data warehousing, dimensional modeling, and performance optimization.
What is a Data Warehouse?
A Data Warehouse (DWH) is a system that collects, stores, and organizes data from multiple sources to enable business intelligence and analytics. It is widely used in industries such as finance, healthcare, retail, and e-commerce to facilitate decision-making.
✔ Centralized Data Storage – Consolidate data from multiple sources.
✔ Optimized for Query Performance – Execute complex queries efficiently.
✔ Supports Business Intelligence & Reporting – Generate meaningful insights.
✔ Works with ETL Processes – Extract, Transform, and Load data seamlessly.
✔ Industry Demand – Essential for data-driven decision-making.
What will you learn
This course covers everything from fundamental data warehousing concepts to advanced data modeling techniques. By the end of the course, you’ll be proficient in:
Understanding Data Warehousing & BI Concepts – Learn the foundation of modern data storage.
Data Modeling & Schema Design – Work with Star, Snowflake, and Galaxy schemas.
ETL & Data Integration Techniques – Implement data pipelines efficiently.
Data Warehouse Performance Optimization – Indexing, partitioning, and query tuning.
Cloud-Based Data Warehousing – Implement AWS Redshift, Google BigQuery, and Azure Synapse.
Course content
The course is structured into comprehensive modules that ensure a step-by-step learning approach.
What is a Data Warehouse?
Role of DWH in Business Intelligence
Data Warehouse vs. Operational Databases
Understanding Data Warehouse Components
Dimensional Modeling (Star & Snowflake Schemas)
Data Marts vs. Data Warehouses
Extracting Data from Multiple Sources
Data Cleansing, Transformation, and Aggregation
Loading Data Efficiently into a DWH
Partitioning & Indexing Strategies
Query Optimization Techniques
Handling Large-Scale Data Loads
Understanding Online Analytical Processing (OLAP)
Building Multi-Dimensional Cubes
Using BI Tools (Power BI, Tableau, Looker) with a DWH
AWS Redshift, Google BigQuery, and Azure Synapse Overview
Implementing Cloud DWH Solutions
Cost Optimization & Performance Tuning in Cloud DWH
Retail Sales Analytics with a Data Warehouse
Financial Reporting & Forecasting
Healthcare Data Warehousing for Patient Insights
What will you learn
✨ Learn from Industry Expert: Kumar, with 10+ years of real-time experience, will guide you through practical applications and real-world scenarios.
✨ Hands-On Learning: Practical assignments and case studies ensure an in-depth understanding.
✨ Comprehensive Curriculum: Covers beginner to advanced concepts with step-by-step explanations.
✨ Career-Oriented Training: Gain skills that boost your resume and job prospects.
About the Mentor
This course is mentored by Kumar, a highly experienced Data Warehouse Consultant with over 10 years of real-time industry experience. Kumar has worked on various enterprise data warehouse and BI projects across industries, including finance, healthcare, retail, and e-commerce. His expertise includes data modeling, ETL architecture, cloud data warehousing, and performance tuning.
Having trained over 5,000 professionals, Kumar has a proven track record of mentoring students and professionals to master data warehousing and secure high-paying jobs in the industry. His real-world insights and project-based training approach ensure that learners gain practical exposure to industry challenges and solutions.
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