SAP

★★★★★

(2,095 ratings) 50,000+ Student

Business Information Warehousing (BIW)

BIW was a data warehousing and business intelligence concept and solution introduced by SAP before it evolved into more advanced and integrated offerings. It aimed to provide organizations with a centralized repository for collecting, storing, and analyzing business data from various sources. It’s important to note that the term BIW is now largely obsolete, as SAP has moved forward with more advanced and integrated solutions for data warehousing (SAP BW) and business intelligence (SAP BusinessObjects, SAP Analytics Cloud, etc.).

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Call Now

100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

9 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a SAP role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

9 sections • 66 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 Module 1: Introduction to Data Warehousing and BI Concepts (4 hours)

Overview of Data Warehousing

What is Data Warehousing?

Evolution of Data Warehousing and BI

Difference Between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing)

Components of a Data Warehouse

Data Sources and ETL (Extract, Transform, Load) Process

Data Staging, Data Integration, and Data Transformation

Data Marts, Operational Data Store (ODS), and Enterprise Data Warehouse (EDW)

Introduction to Business Intelligence (BI)

Definition and Importance of BI in Business

Key BI Concepts: Data Mining, Data Analysis, Reporting, and Dashboards

Tools and Technologies Used in BI (SAP BI, Power BI, Tableau, etc.)

02 Module 2: Data Modeling for Data Warehousing (6 hours)

Introduction to Data Modeling

Importance of Data Modeling in Data Warehousing

Conceptual, Logical, and Physical Data Models

Star and Snowflake Schema

Understanding Star Schema and its Components (Fact and Dimension Tables)

Designing a Star Schema for Data Warehousing

Difference Between Star Schema and Snowflake Schema

Dimensional Modeling

Principles of Dimensional Modeling

Fact Tables and Types of Facts (Additive, Semi-additive, Non-additive)

Dimension Tables and Slowly Changing Dimensions (SCD Types 1, 2, 3)

03 Module 3: ETL Process (8 hours)

Introduction to ETL (Extract, Transform, Load)

What is ETL and Why It’s Important for Data Warehousing?

ETL Tools and Technologies (Informatica, Talend, SSIS, SAP BODS)

ETL Process Stages

Extracting Data from Various Data Sources

Data Transformation Techniques (Cleaning, Enriching, Aggregating)

Loading Data into Data Warehouse and Data Marts

ETL Design and Implementation

Designing Efficient ETL Workflows

Scheduling ETL Jobs and Handling Data Errors

Optimizing ETL Processes for Performance and Scalability

04 Module 4: Data Warehousing Architecture and Design (6 hours)

Data Warehousing Architecture Overview

Basic and Advanced Architectures (Two-tier, Three-tier, Cloud Data Warehouse)

Data Warehouse Lifecycle (Planning, Design, Deployment, Maintenance)

Data Storage and Indexing Techniques

Partitioning, Sharding, and Indexing Strategies

Techniques for Storing and Accessing Large Datasets Efficiently

Metadata and Data Governance

Role of Metadata in Data Warehousing

Importance of Data Governance, Data Quality, and Compliance

05 Module 5: Business Intelligence and Analytics (6 hours)

Introduction to BI Reporting

Understanding BI Reporting Tools and Dashboards

Key Metrics and KPIs (Key Performance Indicators)

BI Tool Overview: SAP BusinessObjects, Power BI, Tableau

Creating Reports and Dashboards

Designing Reports Using BI Tools

Building Dashboards to Visualize Business Metrics

Advanced Reporting Techniques (Drill-down, Filters, Conditional Formatting)

Data Visualization Principles

Importance of Effective Data Visualization

Best Practices for Creating Graphs, Charts, and Interactive Reports

06 Module 6: Data Mining and Advanced Analytics (6 hours)

Introduction to Data Mining

Data Mining Techniques: Classification, Clustering, Association

Importance of Data Mining in BI and Decision-Making

Predictive Analytics and Machine Learning

Overview of Predictive Models and Algorithms

Applications of Machine Learning in BI (Regression, Decision Trees, Neural Networks)

Using Predictive Analytics Tools (Python, R, SAS)

Big Data and Cloud-based Data Warehousing

Introduction to Big Data Analytics and Hadoop Ecosystem

Cloud Data Warehousing Platforms (AWS Redshift, Google BigQuery, Azure Synapse)

07 Module 7: SAP Business Information Warehouse (SAP BW) (8 hours)

Introduction to SAP BW

Overview of SAP BW/4HANA and Key Features

SAP BW Architecture and Data Flows

Key Components: InfoProviders, InfoCubes, DataStore Objects (DSOs)

Building SAP BW Objects

Designing InfoObjects, Key Figures, and Characteristics

Creating InfoCubes, DSOs, and MultiProviders

Implementing Data Extraction, Loading, and Transformation in SAP BW

SAP BW Reporting

Designing Reports and Queries in SAP BW

Using SAP BW with SAP Business Explorer (BEx)

Integrating SAP BW with Other BI Tools (SAP Analytics Cloud, Lumira)

08 Module 8: Performance Optimization and Best Practices (4 hours)

Optimizing Data Warehouse Performance

Techniques for Query Optimization and Indexing

Partitioning Strategies for Large Datasets

Data Warehouse Maintenance

Monitoring and Maintaining Data Warehouse Performance

Handling Data Warehouse Growth and Scalability

Best Practices for BI and Data Warehousing

Ensuring Data Accuracy, Security, and Compliance

Industry Best Practices for BI and Data Warehousing Projects

09 Module 9: Case Studies and Capstone Project (6 hours)

Real-World Data Warehousing Case Studies

Analysis of Successful Data Warehouse Implementations

Understanding Challenges in Large-Scale Data Warehousing Projects

Capstone Project

Design and Implement a Full Data Warehousing Solution

End-to-End ETL, Data Modeling, BI Reporting, and Analytics

Presenting the Final Project to Peers and Instructors

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

66+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn Business Information Warehousing (BIW). You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Enroll Now

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Enroll Now

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

Enroll Now

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

Enroll Now

Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.