Data Warehousing Training Institute in Chennai

4.7 (4,187)

Softlogic Course Duration


2 Months

Softlogic Training Mode


Live Online / Offline

Softlogic Emi Interest


0% Interest

Amidst a data-centric era, where success hinges on information, the demand for skilled Data Warehouse Managers is paramount. Unleash Your Data Management Potential with Softlogic's Data Warehouse Course in Chennai. Immerse in Data Warehousing, ETL, Cloud computing, and Data Analytics. Along with our Data Warehousing Training. Forge Your Path to Data Excellence!

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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

Upcoming Batches


Batch Calendar


Monday (Monday - Friday)

Batch Calendar


Saturday (Saturday - Sunday)

Batch Calendar


Wednesday (Monday - Friday)

Batch Calendar


Friday (Monday - Friday)

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Modes Of Training


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 Live Training

  • 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

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Want to Master your Skills in Data Warehousing ?

Course Highlights


A data warehouse is a specific kind of data management solution crafted to facilitate and bolster activities related to business intelligence (BI), with a primary focus on analytics. These warehouses are dedicated to executing queries and conducting analyses, frequently housing extensive volumes of historical data.

There are several compelling reasons to learn about Data Warehousing:

  • Business Insights: Learn data warehousing for valuable business insights.
  • Analytics Skills: Acquire skills for effective data analysis.
  • Career Opportunities: Unlock diverse job prospects.
  • Data Management: Master efficient data organization.
  • Historical Analysis: Understand long-term trends through historical data.
  • Decision-Making: Enhance decisions with quick access to data.

There are no strict prerequisites for enrolling in our Data Warehousing Training, but a basic grasp of data management and IT principles could be beneficial.

Our Data Warehousing Course is ideal for individuals of all backgrounds including:

  • Students
  • Professionals aiming to shift into a fulfilling career in data warehousing.
  • IT specialists looking to elevate their data warehousing proficiency.
  • Enthusiasts intrigued by the complexities of data warehousing systems.
  • Job seekers wanting to enhance their prospects in the technology industry

The fees for our Data Warehousing Training and Certification may vary depending on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, Data Warehouse Architect Course Fees is Affordable and lasts for 2 Months including international certification. For precise and up-to-date information on fees, duration, and certification, please contact our Data Warehousing and Business Intelligence Course directly.

Specific careers roles related to Data Warehousing include the following:

  • Data Warehouse Developer
  • Business Intelligence Analyst
  • Data Engineer
  • Data Warehouse Architect
  • ETL Developer
  • Data Warehouse Manager
  • Business Intelligence Manager

Here are a few data warehousing applications that are widely used in real-time:

  • Retail: Walmart optimizes stock using real-time data warehousing.
  • Finance: JPMorgan detects fraud instantly with data warehousing.
  • E-commerce: Amazon personalized recommendations using real-time data.
  • Supply Chain: Amazon avoids shortages through real-time inventory data.
  • Healthcare: Mayo Clinic aids diagnoses with real-time patient data.

Softlogic offers a comprehensive and industry-focused Data Warehouse Training and Certification equipping individuals with the skills and expertise required to excel in the field of Database.By choosing Softlogic, you can ensure top-notch Data Warehouse Training with the following benefits:

  • 100+ Real time trainers
  • Fully hands-on training
  • Technology Training
  • Aptitude Training
  • Learn to Code
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interviews
  • Unlimited Interviews
  • Life Long Placement Support
  • 60+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification Guidance
  • Own course materials
  • Resume editing
  • Affordable fees structure

Data Warehousing Syllabus

Download Syllabus

Explore our Data Warehouse Course, delving into the intricate realm of data storage and analysis. Throughout this in-depth Data Warehousing Training, you'll develop a solid grasp of data integration, query optimization, addressing data-related issues, and ensuring peak system performance.

  • Who needs Data warehouse
  • Why Data warehouse is required
  • Datawarehouslng Life cycle
  • Data warehousing Testing Ute Cycle
  • Source
  • Integration Layer
  • Staging Area
  • Targets
  • Analysis & Reporting
  • HPQS
  • Introduction
  • Different Phases of ModellIng
  • What Is a Dimension
  • What are Facts
  • Multi Dimensional Model
  • Hierarchies
  • OLAP
  • Cubes and its Functions
  • Star Schema
  • Fact Table
  • Dimensional Tables
  • Snow flake Schema
  • Fact less Fact Table
  • Confirmed Dimensions
  • Forward Engineering
  • Reverse Engineering
  • Update Model, Alter database
  • Complete compare

Trainer's Profile


Our Mentors are from Top Companies like

  • Our trainers are highly skilled and have 10+ years of extensive experience working with the software and offering certified data warehousing training.
  • They keep up with the latest trends in data warehousing technologies and know the best practices for successful implementations.
  • They are well-versed in database design, data modeling, ETL operations, data analysis, and reporting.
  • They have expertise in building data integration pipelines, optimizing data loading performance, and creating data-driven business solutions.
  • They are also capable of designing and developing data warehouses, developing data structures for data mining, cleansing and deduplicating data, and performing data transformations.
  • They can implement data security and monitor data performance while ensuring data integrity.
  • They have had success training professionals in the extraction, transformation, and loading (ETL) processes of data warehousing, as well as teaching query optimization and data warehousing best practices.
  • They understand the various challenges businesses would encounter in setting up a data warehouse and can provide advice on designing a well-structured system.
  • They understand the importance of quality data for making accurate and strategic decisions and can teach the skills required to design and develop successful data warehouses.
  • They have the skills to effectively train groups of any size and the ability to work with teams of students or individually.
  • The trainers are committed to ensuring they deliver the highest quality course material so that students gain a deep understanding of data warehousing and how to apply their knowledge on the job.

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Project Practices

Operational Analytics
Operational Analytics
Creating a data warehouse to optimize operational metrics like production efficiency and resource utilization.
Network Performance Analytics
Network Performance Analytics
Utilizing a data warehouse to analyze network performance, identify anomalies, and optimize service quality.
Financial Reporting
Financial Reporting
Consolidating financial data from diverse sources in a data warehouse for accurate and timely analysis and reporting.
Web Analytics
Web Analytics
Using a data warehouse to analyze website data, user behavior, and conversion rates to enhance online experiences.
Sales Analytics
Sales Analytics
Developing a data warehouse solution to analyze sales data, track trends, and optimize revenue strategies.
Telecom Network Performance
Telecom Network Performance
Analyzing network data in a data warehouse to detect anomalies and optimize service quality.
Data Warehouse Scalability
Scaling the infrastructure to accommodate increasing data volumes and user demands.
Data Warehouse Scalability
Cloud Data Warehousing
Cloud Data Warehousing
Migrating or setting up data warehousing on platforms like AWS Redshift, Azure Synapse, or Google BigQuery.
Transportation Analytics
Analyzing logistics data in a data warehouse to optimize routes and improve supply chain operations.
Transportation Analytics

Learn with Real Time Projects

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Placement Support


Genuine Placements. No Backdoor Jobs at Softlogic Systems.

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Aptitude Training

Aptitude Training from Day 1

Build Resume

Build Your Resume

Panel Mock Interview

Panel Mock Interview

Interview Skills

Interview Skills from Day 1

Linkedin Profile

Build your Linked in Profile

Unlimited Interviews

Unlimited Interviews until you get placed

Softskills Training

Softskills Training from Day 1

Portfolio Github

Build Your digital portfolio through "GitHub"

Life Long Placement

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The Data Warehousing training at SoftLogic provides a practical approach to learning. You will learn by doing various exercises, projects, and case studies so that you can gain experience in real-world scenarios.

Data Warehousing is focused on data for analytical purposes and is optimized for data retrieval and analysis. Users can input large amounts of data into the system and can access fast and precise insights from the resultant information. This is different from traditional databases which are mainly focused on transaction processing and data resource management.

There are several warehouses that can be used for data warehousing including traditional relational databases, cloud-basedservices, or specialized data warehouses such as Oracle, Microsoft SQL Server, Amazon Redshift, IBM DB2, and so on.

To succeed in data warehousing one needs to have SQL proficiency, basic knowledge of ETL techniques, database design, OLTP and OLAP systems, programming skills in Python or R and data modeling experience.

The duration to acquire data warehousing knowledge can vary. Individuals with IT development experience might grasp it in as little as a week, whereas those less familiar with technology might need up to several months to learn data warehousing.

At SoftLogic, learners will be guided by experienced instructors with industry experience. You will have access to state-of-the-art labs, real-time projects,IBM-accredited certification, and will receive support in terms of placements and project assistance post-course completion.

Data Warehousing involves the process of organizing data into a structured environment to facilitate querying, analysis and decision making. Business Intelligence uses the data stored in the Data Warehouse to generate insights to aid in strategic decision making.

No, Data Warehousing costs have decreased significantly in the past few years especially with the advent of cloud technology. The overall cost for setting up the warehouse can vary depending on the size and complexity of the system.

Yes, the course covers all the essential topics associated with data warehousing including database design, ETL techniques, OLAP and OLTP systems, data modeling and more.

The best way to learn Data Warehousing is through an interactive and practical approach to learning, and this is the approach taken by SoftLogic in its courses. Learners are encouraged to put their learning into practice by working on projects, case studies and exercises.

Additional Information


A data mart serves the same role as a data warehouse, but it is intentionally limited in scope. It may serve one particular department or line of business. The advantage of a data mart versus a data warehouse is that it can be created much faster due to its limited coverage. However, data marts also create problems with inconsistency. It takes tight discipline to keep data and calculation definitions consistent across data marts. This problem has been widely recognized, so data marts exist in two styles. Independent data marts are those which are fed directly from source data. They can turn into islands of inconsistent information. Dependent data marts are fed from an existing data warehouse. Dependent data marts can avoid the problems of inconsistency, but they require that an enterprise-level data warehouse already exist.

The key characteristics of a data warehouse are as follows:

  • Data is structured for simplicity of access and high-speed query performance.
  • End users are time-sensitive and desire speed-of-thought response times.
  • Large amounts of historical data are used.
  • Queries often retrieve large amounts of data, perhaps many thousands of rows.
  • Both predefined and ad hoc queries are common.
  • The data load involves multiple sources and transformations.

Want to Master your skills in Data Warehousing ?