Big Data & Data Engineering · PPL

Data Warehouse & ETL Certification

Learn data warehousing and ETL processes to design, build, transform, and manage enterprise data integration and analytics solutions.

  • 3 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹14,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to Data Warehousing

  • Data Warehouse Fundamentals
  • OLTP vs OLAP
  • Data Warehouse Architecture
  • Business Intelligence Overview
  • Industry Applications

Module 2: Data Warehouse Design

  • Enterprise Data Models
  • Data Warehouse Layers
  • Data Marts
  • Metadata Management
  • Warehouse Architecture Best Practices

Module 3: Dimensional Modeling

  • Facts and Dimensions
  • Star Schema
  • Snowflake Schema
  • Slowly Changing Dimensions
  • Dimensional Design Principles

Module 4: SQL for Data Warehousing

  • Advanced SQL Queries
  • Joins
  • Window Functions
  • Aggregations
  • Query Optimization

Module 5: ETL Fundamentals

  • ETL Concepts
  • Data Extraction
  • Data Transformation
  • Data Loading
  • ETL Workflow Design

Module 6: Data Integration

  • Source Systems
  • Data Mapping
  • Data Consolidation
  • Data Synchronization
  • Integration Strategies

Module 7: Data Transformation

  • Cleansing Techniques
  • Standardization
  • Data Validation
  • Business Rules
  • Transformation Logic

Module 8: Data Quality Management

  • Data Profiling
  • Data Accuracy
  • Data Consistency
  • Duplicate Detection
  • Data Quality Monitoring

Module 9: ETL Development

  • Pipeline Development
  • Incremental Loading
  • Full Data Loads
  • Error Handling
  • Logging Techniques

Module 10: Data Warehouse Loading Strategies

  • Initial Load
  • Incremental Load
  • Batch Processing
  • Change Data Capture Concepts
  • Load Optimization

Module 11: Workflow Orchestration

  • Job Scheduling
  • Workflow Dependencies
  • Pipeline Automation
  • Monitoring Jobs
  • Recovery Strategies

Module 12: Cloud Data Warehousing

  • Cloud Data Warehouses
  • Cloud Storage
  • Cloud Data Pipelines
  • Managed Data Services
  • Deployment Concepts

Module 13: Performance Optimization

  • Query Tuning
  • Indexing
  • Partitioning
  • Resource Optimization
  • Performance Monitoring

Module 14: Data Governance

  • Data Governance Framework
  • Metadata Management
  • Data Lineage
  • Compliance Awareness
  • Governance Best Practices

Module 15: Data Security

  • Authentication
  • Authorization
  • Data Encryption
  • Access Control
  • Secure Data Management

Module 16: Reporting and Analytics

  • Business Intelligence Concepts
  • Reporting Solutions
  • Dashboards
  • KPI Reporting
  • Decision Support

Module 17: Monitoring and Troubleshooting

  • ETL Monitoring
  • Warehouse Monitoring
  • Error Diagnosis
  • Log Analysis
  • Troubleshooting Techniques

Module 18: Integration with Big Data Platforms

  • Hadoop Integration
  • Apache Spark Integration
  • Cloud Integration
  • Data Lake Integration
  • Enterprise Data Pipelines

Module 19: Testing ETL Solutions

  • Unit Testing
  • Integration Testing
  • Data Validation
  • Reconciliation
  • Performance Testing

Module 20: DevOps for Data Engineering

  • Version Control
  • CI/CD Concepts
  • Deployment Automation
  • Configuration Management
  • Release Best Practices

Module 21: Enterprise Best Practices

  • Scalable Architecture
  • Documentation
  • Code Standards
  • Operational Excellence
  • Production Readiness

Module 22: Data Warehouse & ETL Project

  • End-to-End ETL Pipeline Development
  • Data Warehouse Design
  • Data Transformation
  • Performance Optimization
  • Final Project Presentation 
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand data warehouse architecture and dimensional modeling concepts.

02

Design and develop scalable ETL pipelines for enterprise data integration.

03

Apply SQL and data transformation techniques for data processing.

04

Build data warehouses using industry-standard design principles.

05

Ensure data quality, governance, and security throughout the data lifecycle.

06

Optimize ETL workflows and data warehouse performance.

07

Integrate enterprise data warehouses with cloud and Big Data platforms.

08

Develop production-ready data warehouse and ETL solutions using best practices.

— Questions answered

Frequently Asked Questions

What is a data warehouse?
A data warehouse is a centralized repository that stores integrated data from multiple sources to support reporting, analytics, and business decision-making.
What is ETL?
ETL stands for Extract, Transform, and Load. It is the process of collecting data from different sources, transforming it into a consistent format, and loading it into a data warehouse.
Is prior programming knowledge required?
Yes. Basic knowledge of SQL, databases, and programming concepts is recommended for understanding ETL development and data warehousing.
Does the course include practical projects?
Yes. Participants build hands-on projects involving ETL pipeline development, data warehouse design, data transformation, workflow orchestration, and performance optimization.
What skills will I gain?
You will learn data warehouse design, ETL development, SQL optimization, dimensional modeling, data integration, workflow automation, cloud data warehousing, data governance, and enterprise data engineering practices.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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