DWH ETL Training in Gurgaon, Delhi

DWH ETL

Data Warehousing and ETL From Scratch, trainer is an experienced Solution Architect

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Unlock the power of enterprise data with our hands-on DWH & ETL Training - Building Scalable Data Infrastructure for Analytics. This course is designed for data engineers, BI developers, and analytics professionals who want to master the design and implementation of robust data warehousing and ETL systems. Participants will learn how to architect data warehouses using dimensional modeling, build efficient ETL pipelines for structured and semi-structured data, and optimize performance for large-scale analytics. Learners shall gain practical experience in managing data across the full lifecycle-from ingestion and transformation to storage and reporting. Whether you're supporting business intelligence, machine learning, or compliance reporting, this training equips you to deliver reliable, scalable, and secure data solutions.

You will move beyond simple data movement to master sophisticated ETL processes using industry-standard tools. Crucially, you will master Dimensional Modeling, the foundation for efficient reporting and analytics. Learn advanced techniques for handling slowly changing dimensions (SCDs), managing ETL performance, and ensuring data quality at scale. Secure your expertise in the architecture that drives all modern BI and ML initiatives.

You will master the principles of Data Governance within the ETL process, ensuring data lineage, quality, and compliance. Learn to evaluate and design modern architectures and understanding the shift to ELT. Gain the confidence to lead your team through digital transformation, ensuring your DWH provides a reliable, single source of truth for the entire enterprise.

Target Audience:-
-Data engineers and ETL developers building scalable data pipelines for analytics and reporting
-BI professionals and analysts working with large datasets and enterprise reporting tools
-IT teams managing data infrastructure and integration across departments
-Students and researchers in data science, computer science, and information systems programs
-Professionals preparing for roles in data architecture, cloud data engineering, or ETL tool certification

Learning Outcomes:-
-Understand the architecture and purpose of data warehouses in modern analytics ecosystems
-Design dimensional models using star and snowflake schemas
-Build ETL workflows to extract, transform, and load data from diverse sources
-Optimize ETL performance using indexing, partitioning, and parallel processing
-Implement Slowly Changing Dimensions (SCD Types 1, 2, 3) for historical tracking
-Ensure data governance, security, and compliance across the data lifecycle

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-The pre-requisites for this course includes basic understanding of Databases and basic Programming Techniques

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to Data Warehousing and ETL
✔ What is a Data Warehouse?
✔ OLTP vs OLAP systems
✔ ETL vs ELT
✔ Role of DWH and ETL in BI
✔ Fact Table and Dimension Table
✔ Data Lake
✔ Data Mart

Module 2: Data Warehouse Architecture and Design
✔ Components of a DWH
✔ Dimensional modeling
✔ Fact and dimension tables
✔ Slowly Changing Dimensions

Module 3: ETL Process Design and Workflow
✔ ETL lifecycle
✔ Data profiling and quality checks
✔ Workflow orchestration and scheduling
✔ Error handling and logging strategies

Module 4: ETL Tools and Technologies
✔ Overview of popular ETL tools
✔ Hands-on with one selected tool
✔ Designing jobs, transformations, and mappings
✔ Connecting to databases, APIs, and flat files

Module 5: Data Integration and Transformation Techniques
✔ Joins, filters, aggregations, and lookups
✔ Data type conversions and normalization
✔ Handling duplicates and nulls
✔ Real-time vs batch processing

Module 6: Loading Strategies and Performance Optimization
✔ Full load vs incremental load
✔ Change Data Capture (CDC) techniques
✔ Indexing, partitioning, and parallel processing
✔ ETL performance tuning and optimization

Module 7: Data Governance, Security, and Compliance
✔ Metadata management and lineage tracking
✔ Data masking and encryption
✔ Role-based access control
✔ Compliance with GDPR, HIPAA, and other regulations

Module 8: Cloud Data Warehousing and Modern ETL
✔ Introduction to cloud DWH platforms
✔ Cloud-native ETL tools
✔ Serverless architecture and data lakes
✔ Hybrid and multi-cloud integration

Module 9: Capstone Project and Certification Preparation
✔ Design and implement a complete ETL pipeline
✔ Load data into a dimensional data warehouse
✔ Create reports or dashboards using BI tools
✔ Document architecture, logic, and performance metrics

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.