Data Integration, data warehousing, and analytics are now a part and parcel of every organizations in the world. Hence, ETL is one of the most commonly used processes to do all of that. Hence, being an expert in ETL is one of the most beneficial careers for anyone in IT. So, our ETL Course in OMR is your opportunity to learn all about ETL and become an expert in ETL. Our ETL Training Institute in OMR is the best place for you to begin your learning process. The institute is filled with generous trainers and a modern curriculum, completing that combination with aspiring students will make this course the ETL Training with certification & placements.
ETL Training in OMR
DURATION
2 Months
Mode
Live Online / Offline
EMI
0% Interest
Let's take the first step to becoming an expert in ETL Training in OMR
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What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Course Schedules
Course Syllabus
Course Fees
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Breakdown of ETL Training in OMR Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
February 2025
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)
February 2025
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Save up to 20% in your Course Fee on our Job Seeker Course Series
Syllabus of ETL Training in OMR
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 Learning ETL Training in OMR
Our ETL Training in OMR is one of the few courses among other IT institutes that teaches rare topics under its syllabus. Our syllabus is curated by IT industry professionals and experts, according to the current trends in the IT industry. Some of the syllabus topics are discussed below:
- In the beginning of the course, students will be introduced to basic concepts like introduction to data warehousing, warehouse architecture, data marts etc.
- The course will then move on to topics like, types of ETL Testing, Power Center Components, Informatica concepts etc.
- The course will finally move on to advanced topics like, Targets, workflow manager, Performance tuning etc.
Reason to choose SLA for ETL Training in OMR
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Highlights of The ETL Training in OMR
What is ETL?
ETL, which stands for Extract, Transform, Load, constitutes a pivotal process within data warehousing and integration. Its purpose is to gather data from diverse sources, standardize it into a uniform format, and then transfer it to a designated destination, often a data warehouse or database. This facilitates subsequent analysis, reporting, or utilization for other objectives.
What are the reasons for learning ETL?
The following are the reasons for learning ETL:
- Integration of Data: ETL permits the consolidation of data from diverse origins into one cohesive system, fostering thorough analysis and reporting capabilities.
- Enhanced Data Quality: Through the transformation and cleansing stages of ETL, data can be refined to ensure its precision, uniformity, and trustworthiness, thereby elevating overall data quality.
- Informed Decision-Making: ETL facilitates access to well-structured and unified data, empowering organizations to make insightful decisions based on reliable information.
What are the prerequisites for learning the ETL Training in OMR?
- Foundational Database Knowledge: Understanding tables, records, SQL queries, and relational database management systems (RDBMS) like MySQL, PostgreSQL, or Oracle is crucial.
- Data Analysis Expertise: Skill in data analysis principles, including data types, manipulation techniques, and statistical analysis methods, is essential for comprehending the importance of data transformation in ETL processes.
- Programming Skills: While not always required, skill in programming languages such as Python, Java, or Scala, along with familiarity with scripting languages like Bash or PowerShell, is highly advantageous for ETL tasks and automation.
Our ETL Training Course is suitable for:
- Students
- Job Seekers
- Freshers
- IT professionals aiming to enhance their skills
- Professionals seeking career change
- Enthusiastic programmers
What are the course fees and duration?
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 ₹25,000 to ₹30,000 INR for 2 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.
What are some of the jobs related to ETL?
The following are some of the jobs related to ETL:
- ETL Developer
- Data Engineer
- Business Intelligence Developer
- Data Analyst
What is the salary range for the position of ETL Developer?
The ETL Developer freshers salary typically with less than a couple of years of experience earn approximately ₹3-4 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 Developer with more than 5 years of experience can anticipate an average yearly salary of around ₹8-9 lakhs. Visit SLA for more courses.
List a few real time ETL applications.
Here are several real time ETL applications:
- Social Media Analytics
- IoT Data Processing
- Fraud Detection
- Clickstream Analysis
Who are our Trainers for ETL Training in OMR?
Our Mentors are from Top Companies like:
The following are the trainer’s profile for our ETL Training in OMR:
- Our ETL instructors are dedicated professionals in the field of enterprise data warehousing and business analytics, possessing extensive technical expertise.
- They possess hands-on experience in developing, managing, and optimizing data warehouses, as well as extracting, transforming, and loading data from diverse sources.
- With a deep understanding of ETL applications and platforms, they educate students on database development, data integration, analysis, analytics, and reporting concepts.
- They adeptly prepare students for certification examinations by employing example-based teaching methods and conducting interactive live sessions.
- Our instructors exhibit excellent communication and interpersonal skills, fostering effective coordination and learning interactions with students.
- Our trainers demonstrate technical skills in developing ETL processes for software applications, handling both structured and unstructured data, and implementing best practices for data mappings.
- Our trainers are capable of developing ETL workflows, conducting data validation and testing using specialized ETL tools, and resolving complex ETL challenges.
- Our trainers possess the skills required for monitoring and maintaining data warehouses, ensuring smooth operations and promptly addressing any issues that arise.
- Using ETL testing tools and techniques, our instructors assess students’ performance and offer constructive feedback to enhance their technical skills.
- With a collaborative mindset and positive attitude, our trainers are committed to helping students acquire knowledge and secure placements in top IT firms seamlessly.
What Modes of Training are available for ETL Training in OMR?
Offline / Classroom Training
- 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
Online Training
- 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
Corporate Training
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Project Practices for ETL Training in OMR
Real-time Sales and Inventory Tracking
Make a system for retail shops to watch sales and stock in real-time.
Health Monitoring
Make a system that watches people’s health data from wearable devices or medical sensors
Energy Usage Monitoring
Develop a tool that keeps track of how much energy buildings or grids are using in real-time
Click Fraud Detection
Build a system that spots fake clicks on online ads in real-time. It watches clicks as they happen, uses smart rules or math to find fake ones, and can take action to stop them right away.
Weather Data Analysis
Create a tool that watches weather updates from lots of places all the time.
Sensor Anomaly Detection
Make a system that spots weird stuff happening in data from devices like smart thermostats or environmental sensors as it happens.
Supply Chain Optimization
Build a system that keeps track of how much stuff is in stock, what’s in demand, and info from suppliers in real-time
Customer Churn Prediction
Create a system that can predict if customers might leave a subscription service in real-time
Social Media Dashboard
Make a live dashboard that keeps an eye on social media for specific topics. It uses a process to bring in ongoing social media updates, figure out how people feel about them.
The SLA way to Become
a ETL Training in OMR Expert
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Technology Training
Realtime Projects
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Interview Skills
Panel Mock
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Placement Support for a ETL Training in OMR
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
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
FAQs for
ETL Training in OMR
Does SLA have EMI?
1.
Yes, SLA supports EMI option with 0% interest.
What kind of payment methods does SLA accept?
2.
SLA accepts cash, cheques, cards and every other UPI and digital payments.
How many branches does SLA have and where is it located?
3.
SLA has two branches, in K.K. Nagar and Navalur, OMR,
What is the specialty about SLA’s OMR branch?
4.
SLA’s OMR branch is located in the middle of OMR’s IT hub, which gives our institute increased credibility and opportunities for students.
How is SLA’s classroom infrastructure?
5.
SLA’s classrooms are equipped with Smart technologies like digital boards, monitors to teach and laptops for students to practice their theoretical learning.
What sets apart ETL from ELT?
6.
ETL (Extract, Transform, Load) involves extracting data from source systems, transforming it to fit the target data model, and loading it into the destination system. On the contrary, ELT (Extract, Load, Transform) first loads data into the target system and then performs transformations within the database.
Which are the commonly used ETL tools in the industry?
7.
Informatica PowerCenter, Talend Open Studio, Microsoft SQL Server Integration Services (SSIS), Apache NiFi, and Apache Spark are popular ETL tools. They offer various features for data integration, transformation, and loading, catering to diverse requirements and use cases.
What practices ensure efficient ETL workflows?
8.
To design efficient ETL workflows:
- Understand data requirements and business objectives upfront.
- Break down workflows into smaller, manageable tasks.
- Utilize parallel processing and partitioning for enhanced performance.
How do you manage incremental data loading in ETL processes?
9.
Incremental data loading involves extracting and loading only new or changed data since the last extraction, rather than reloading the entire dataset. Techniques include using timestamp or sequence numbers for tracking data changes, implementing change data capture (CDC) mechanisms, and utilizing database features like triggers or log-based replication.
What factors are vital for ETL performance tuning?
10.
Considerations for ETL performance tuning encompass:
- Optimizing SQL queries and transformations for efficiency.
- Leveraging indexes and partitions for quicker data access.
- Adjusting memory and disk configurations to allocate resources effectively.
Additional Information for
ETL Training in OMR
Our ETL Training in OMR has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our ETL course syllabus will teach you topics that no other institute will teach. Enroll in our ETL training to explore some innovative Top project ideas for the ETL.
1.
History of ETL
The history of ETL traces back to the emergence of data warehousing and business intelligence in the 1970s and 1980s:
- Early Data Warehousing: Businesses saw the need to organize data for analysis, leading to the rise of data warehousing.
- ETL Tools: With data warehousing, demand grew for tools to extract, transform, and load data, giving rise to ETL.
- Custom ETL Solutions: Initially, organizations relied on custom ETL scripts, which were complex and time-consuming.
- Evolution of ETL Tools: Commercial ETL tools emerged in the 1990s, simplifying the process with pre-built features.
- Diversification of Data Sources: The internet expanded data sources, prompting ETL tools to support various formats.
- Integration with Business Intelligence: ETL became part of the broader BI ecosystem, aiding in data analysis.
- Real-time Data Integration: Recent years saw a surge in demand for real-time data integration, prompting ETL tool evolution.
- Modern Data Integration Platforms: Today, ETL encompasses data integration, offering comprehensive solutions across diverse environments.