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Software Training Institute in Chennai with 100% Placements – SLA Institute

ETL Online Training

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DURATION
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2 Months
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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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Ready to start your tech career? Whether you have recently graduated and want to begin your IT career, or want to upskill for your next phase, our Eligibility Assessment Form makes the process easy to begin. For this ETL Online Course Developer Course, we will match your skills and goals to the best training structure for you. Just fill in the form below for an easy start on your course. Take your first step today!
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Syllabus of ETL Online Course

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  • 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
  • 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)
  • 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
  • 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
  • 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
  • Informatica
  • Ab Initio
  • IBM Data stage
  • Designer
  • Repository Manager
  • Workflow Manager
  • Workflow Monitor
  • Power Center Admin Console
  • Informatica Architecture
  • Working with relational Sources
  • Working with Flat Files
  • Working with Relational Targets
  • Working with Flat file Targets
  • 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
  • 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
  • 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 Online Course

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.
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Highlights of ETL Online 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 ETL Online Course with 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.
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Why Softlogic Systems is the Best Choice for ETL Online Course

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Get expert help with resume building, mock interviews, and soft skills.
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Access placement opportunities with leading MNCs and IT companies.
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Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with  Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
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The Global Edge: Certified Vs. Uncertified

With Global Certification

  • ✅ Visibility in ATS Filters
  • ✅Command Higher Hikes
  • ✅ Verified Skill Proof
  • ✅Global Job Access
  • ✅ Fast-Tracked Senior Roles

Without Global Certification

  • ❌ Stuck in Screening
  • ❌ Lower Starting Pay
  • ❌ Unproven Technical Ability
  • ❌ Limited Local Scope
  • ❌ Slower Career Leader
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The SLA Way to Get Placed

The SLA Way to Get Placed

Seven connected stages, one continuous path from enrollment to your career launch — here is exactly how it works, step by step.

01
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Technical Mastery

Industry-aligned curriculum, daily coding tasks, real-time projects

02
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Career Readiness

Aptitude, Communication, ATS-friendly resume optimization

03
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Placement Prep

Aptitude, communication tuning and technical interview mastery.

04
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Panel Mock Interviews

Real company-pattern mocks with expert panel feedback.

05
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Interview schedule

Multiple company drives with lifetime placement support.

06
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Interview Feedback

Detailed performance analysis and one-on-one guidance.

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Launch Your Career

Land your first job with lifetime alumni and career support.

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FAQ

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.

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