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ETL Online Training

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Our ETL Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer ETL Online Courses that are practical, interactive, and aligned with the latest industry demands. Our ETL syllabus covers the ETL fundamentals, data integration concepts, workflow design, transformation logic, data quality management, and performance optimization. Enroll now and learn from industry experts with flexible timings and get Job support.

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2 Months
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Course Syllabus

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Fees, Duration & Batch Timings for ETL Course

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2026
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Syllabus of ETL Course

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Module 1 : DWH Data Ware Housing Concepts
  • What is Data Warehouse?
  • Need of Data Warehouse
  • Introduction to OLTP, ETL and OLAP Systems
  • Difference between OLTP and OLAP
  • Data Warehouse Architecture
  • Data Marts
  • ODS [Operational Data Store]
  • Dimensional Modelling
  • Difference between relation and dimensional modelling
  • Star Schema and Snowflake Schema
  • What is fact table
  • What is Dimension table
  • Normalization and De-Normalization
Module 2 : ETL Testing
  • ETL architecture.
  • What is ETL and importance of ETL testing
  • How DWH ETL Testing is different from the Application Testing
  • SDLC/STLC in the ETL Projects (ex: V Model, Water fall model)
Module 3 : Challenges in DWH ETL Testing compare to other testing
  • Incompatible and duplicate data
  • Loss of data during ETL process
  • Testers have no privileges to execute ETL jobs by their own
  • Volume and complexity of data is very huge
  • Fault in business process and procedures
  • Trouble acquiring and building test data
Module 4 : ETL Testing Work flow activities involved
  • Analyze and interpret business requirements/ workflows to Create estimations
  • Approve requirements and prepare the Test plan for the system testing
  • Prepare the test cases with the help of design documents provided by the
  • developer team
  • Execute system testing and integration testing
  • Best practices to Create quality documentations (Test plans, Test Scripts and Test closure summaries)
  • How to detect the bugs in the ETL testing
  • How to report the bugs in the ETL testing
  • How to co-ordinate with developer team for resolving the defects
Module 5 : Types of ETL Testing
  • Data completeness
  • Data transformation
  • Data quality
  • Performance and scalability
  • Integration testing
  • User-acceptance testing
  • SQL Queries for ETL Testing
  • Incremental load testing
  • Initial Load / Full load testing
Module 6 : Different ETL tools available in the market
  • Informatica
  • Ab Initio
  • IBM Data stage
Module 7 : Power Center Components
  • Designer
  • Repository Manager
  • Workflow Manager
  • Workflow Monitor
  • Power Center Admin Console
Module 8 : Informatica Concepts and Overview
  • Informatica Architecture
Module 9 : Sources
  • Working with relational Sources
  • Working with Flat Files
Module 10 : Targets
  • Working with Relational Targets
  • Working with Flat file Targets
Module 11 : Transformations – Active and Passive Transformations
  • Expression
  • Lookup –Different types of lookup Caches
  • Sequence Generator
  • Filter
  • Joiner
  • Sorter
  • Rank
  • Router
  • Aggregator
  • Source Qualifer
  • Update Strategy
  • Normalizer
  • Union
  • Stored Procedure
  • Slowly Changing Dimension
  • SCD Type1
  • SCD Type2 — Date, Flag and Version
  • SCD Type3
Module 12 : Workflow Manger
  • Creating Reusable tasks
  • Workflows, Worklets & Sessions
  • Tasks
  • Indirect Loading
  • Constraint based load ordering
  • Target Load plan
  • Worklet ,Mapplet ,Resuable transformation
  • Migration ?ML migration and Folder Copy
  • Scheduling Workflow
  • Parameter and variables
  • XML Source, Target and Transformations
Module 13 : Performance Tuning
  • Pipeline Partition
  • Dynamic Partition
  • Pushdown optimization
  • Preparation of Test Cases
  • Executing Test case
  • Preparing Sample data
  • Data validation in Source and target
  • Load and performance testing
  • Unit testing Procedures
  • Error handling procedures

Objectives of ETL Training

Our ETL Online Training has the newly introduced syllabus which is fully up-to-date according to the current industry standards and trends. The syllabus is curated by industry professionals in the IT industry which makes it reliable. The syllabus covers topics ranging from fundamental to advanced, some of those are briefly discussed below:

  • The syllabus begins with fundamental topics like, Data Warehousing concepts, ETL Testing, Challenges in DWH ETL Testing compared to other testing etc.
  • The syllabus then moves on a little deeper into ETL like, ETL Testing Workflow activities, Types of ETL Testing, Informatica, Ab Initio, IBM Data stage etc.
  • The syllabus then moves onto advanced topics such as Active and Passive Transformation, Workflow Manager etc.

Why Softlogic Systems is the Best Choice for ETL Training – Learn, Practice, and Get Placed!

Crowdfunding Platform
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
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Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about ETL?Request a Free Callback

Highlights of ETL Course

ETL, or Extract, Transform, Load, is a vital process in data management and analytics. It involves gathering data from multiple sources, refining it into a uniform structure, and storing it in a target database or warehouse for analysis and reporting. This automation is essential for businesses, ensuring data reliability, consistency, and accessibility for informed decision-making.

The following are the reasons for learning ETL:

  • Data Warehousing Knowledge: Learning ETL helps you understand how to manage large amounts of data efficiently in data warehousing, which is important for storing and organizing data for analysis.
  • Analytics and Business Intelligence: ETL knowledge is essential for professionals in analytics and business intelligence because it’s the basis for preparing and analyzing data.

Career Opportunities: Knowing ETL opens up job opportunities in areas like data engineering, analysis, and business intelligence, as more businesses use data to make decisions.

SLA does not demand any prerequisites for any courses as all the courses cover topics from fundamental to advanced level. However having a basic knowledge on these below topics can be beneficial in learning ETL easily:

  • Basic Understanding of Data: Knowing about databases, different data formats like CSV and JSON, and data types is useful.
  • SQL Knowledge: Understanding some SQL (Structured Query Language) basics is often needed for ETL tasks involving databases.
  • Understanding of Data Warehousing: Having a grasp of data warehousing concepts, such as data modeling and dimensional modeling, helps when learning ETL.

Our ETL Course is suitable for: 

  • Students
  • Job Seekers
  • Freshers
  • IT professionals aiming to enhance their skills
  • Professionals seeking career change
  • Enthusiastic programmers

The ETL  course fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the ETL course fees come in the range of ₹65,000 to ₹75,000 INR for 4 months, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and certified ETL certification, kindly contact our Best Placement Training Institute in Chennai directly.

The following are some of the jobs related to ETL:

  • ETL Developer
  • Data Engineer
  • Business Intelligence (BI) Developer
  • Data Analyst

The ETL Developer freshers salary typically with around less than 1 year of experience earn approximately ₹4-5 lakhs annually. For a mid-career ETL Developer with around 3 years of experience, the average annual salary is around ₹6-7 lakhs. An experienced ETL Developerwith more than 5 years of experience can anticipate an average yearly salary of around ₹9-10 lakhs. Visit SLA for more courses.

Here are several real time ETL applications:

  • Real-Time Analytics Dashboard
  • Streaming Data Processing
  • Fraud Detection System
  • Real-Time Personalization Engine

Boost Your Skills with Our ETL Training Experts

Our Mentors are from Top Companies like:

The following are our trainer’s profile for the ETL Online Training:

  • Our ETL instructors are dedicated professionals in enterprise data warehousing and business analytics, possessing extensive technical expertise.
  • They bring hands-on experience in building, managing, and optimizing data warehouses, as well as extracting, transforming, and loading data from various sources.
  • With a deep understanding of ETL applications and platforms, they guide students through database development, data integration, data analysis, and reporting concepts.
  • Utilizing examples and live sessions, they effectively prepare students for certification exams.
  • Their exceptional communication and interpersonal skills ensure productive learning interactions with students.
  • Proficient in developing ETL processes for software applications and working with diverse data types, they adhere to best practices for data mapping.
  • They excel in creating ETL workflows, conducting data validation and testing using ETL tools, and troubleshooting complex ETL issues.
  • Using ETL testing tools and techniques, they assess student performance and provide constructive feedback to enhance technical skills.
  • With a collaborative mindset and a focus on student success, they aim to facilitate learning and placement in leading IT firms.
Want to Speak to a Trainer about ETL?Request a Free Callback

What Modes of Training are available for ETL Course?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
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Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
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Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

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Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
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Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Hands-on Project Practices in ETL Course

Real-Time Weather Data Analysis
Real-Time Sales Forecasting System
Real-Time Social Listening Platform
Smart City Data Management
Healthcare Analytics Platform
Real-Time Fraud Prevention System
Energy Monitoring and Management Solution
Supply Chain Optimization System
Real-Time Customer Engagement Platform

The SLA Way to Get Placed in Top IT Companies

Enrollment

Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock
Interview

Unlimited
Interviews

Interview
Feedback

100%
IT Career

Placement Support for a ETL Job

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Aptitude Training
from Day 1

CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

Build Your Resume

Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

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FAQs

Yes, SLA has an HR personnel who will look into student grievances.

Yes, SLA’s trainers are highly experienced in their respective fields in IT and in teaching as well.

SLA has two branches, one is in Navalur, OMR and another is in K.K.Nagar

SLA’s OMR branch is located in the middle of OMR’s IT hub. This gives SLA OMR branch students a special advantage in internships and placements.

Yes, SLA definitely has an EMI option with 0% interest.

Incremental updates are handled by techniques like change data capture (CDC) or filtering based on timestamps, capturing only changes since the last run to save time and keep data fresh.

To speed up ETL, consider parallel processing, dividing data into parts, optimizing indexes and queries, and choosing powerful hardware and efficient ETL tools.

Handling errors involves spotting, recording, and fixing issues during data extraction, transformation, or loading, using methods like error handling routines, logging errors, and retrying for temporary issues.

Data quality means having accurate, complete, consistent, and timely data. Best practices include checking data, cleaning it, validating it, and monitoring its quality, along with setting rules and metrics for improvement.

Complex data changes are managed with techniques like custom scripts, user-made functions, or special tools in ETL software, breaking them into smaller pieces for better accuracy and testing.

Additional Information for
the ETL Course

  • Real-Time ETL: Businesses want quick insights, so they’re using technologies like Apache Kafka and Apache Flink to process data as it comes in, helping them respond fast to changes.
  • Cloud-Based ETL: More companies are using cloud services like AWS Glue, Google Cloud Dataflow, and Azure Data Factory for ETL because they’re easy to scale, flexible, and cost-effective.
  • Data Governance and Compliance: With stricter privacy rules like GDPR and CCPA, companies are focusing on making sure their data is safe, accurate, and follows regulations throughout the ETL process.
  • Automated ETL Pipelines: Automation tools like Apache NiFi and Talend are getting popular because they help make ETL workflows smoother without needing lots of coding.
  • Data Catalogs and Metadata Management: Managing data details and creating catalogs is crucial for understanding and controlling data, so ETL tools are adding features to help users find, understand, and manage data assets across the organization.

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