Collecting, storing, and managing large volumes of structured and unstructured data from various sources can be difficult, which may affect the support for business analysis, decision-making, and reporting for the organization. But with the introduction of Data Warehousing, the collecting and managing those large volumes of data became incredibly easy. Which is why learning at our Data Warehousing Training Institute in Chennai will lead to a thriving career. Also, our Data Warehousing Course in Chennai will train you in both theory and practical too. So, go ahead and enroll in our Data Warehousing Training with certification & placements to have a great career.
Data Warehousing Training in Chennai
DURATION
2 Months
Mode
Live Online / Offline
EMI
0% Interest
Let's take the first step to becoming an expert in Data Warehousing
100% Placement
Assurance
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
Want more details about the Data Warehousing course?
Course Schedules
Course Syllabus
Course Fees
or any other questions...
Breakdown of Data Warehousing Course Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
September 2024
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)
September 2024
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 for The Data Warehousing Course
Introduction to Data warehousing
1
- Who needs Data warehouse
- Why Data warehouse is required
Types of Systems
2
- OLTP
- DSS
Maintenance of Data warehouse
3
- Datawarehouslng Life cycle
- Data warehousing Testing Ute Cycle
- Source
Data warehousing Architecture
4
- Integration Layer
- Staging Area
- Targets
- Analysis & Reporting
- HPQS
- Introduction
Data Modelling
5
- Different Phases of ModellIng
- What Is a Dimension
Multi Dimensional Modelling
6
- What are Facts
- Multi Dimensional Model
- Hierarchies
- OLAP
- MOLAP
- ROLAP
- HOLAP
- Cubes and its Functions
- Star Schema
- Fact Table
- Dimensional Tables
- Snow flake Schema
- Fact less Fact Table
- Confirmed Dimensions
Data Modelling Tools
7
- Forward Engineering
- Reverse Engineering
- Update Model, Alter database
- Complete compare
Objectives of Learning Data Warehousing Course
Our data warehouse training in Chennai aims to equip learners with an understanding of data mining and data warehouse concepts. It provides a detailed explanation of the concepts, structures, applications, design, and implementation of data mining and data warehouse concepts. After finishing our data warehouse certification training at SLA, students will:
- Learn about the mathematical underpinnings of data mining software.
- Recognize and employ traditional models and techniques in data mining and data warehouses.
- Describe the kinds of patterns that association rule mining, clustering, and classification can find.
- Learn how to use data mining techniques in a variety of contexts, including social, scientific, and environmental.
- Gain expertise in choosing the right data mining algorithm to solve real-world issues.
Reason to choose SLA for Data Warehousing training
- 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 Data Warehousing Course
What is Data Warehousing?
1.
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.
What are the reasons to learn Data Warehousing?
2.
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.
What are the prerequisites to learn Data Warehousing?
3.
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
What are the course fees and duration?
4.
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.
What are the Jobs related to Data Warehousing?
5.
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
List a few Data Warehousing real-time applications?
6.
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.
What is the salary range for a data warehouse professional?
7.
The data is based on a large number of most recent salaries when it has very high confidence. The data warehouse developer’s salary in India spans from ₹3.0 Lakhs to ₹19.5 Lakhs, with an average yearly salary of ₹7.3 lakhs for experienced data warehouse professionals.
Who are our Trainers for The Data Warehousing Course?
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.
What Modes of Training are available for Data Warehousing?
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 The Data Warehousing Course
Network Performance Analytics
Utilizing a data warehouse to analyze network performance, identify anomalies, and optimize service quality.
Web Analytics
Using a data warehouse to analyze website data, user behavior, and conversion rates to enhance online experiences.
Data Warehouse Scalability
Scaling the infrastructure to accommodate increasing data volumes and user demands.
Cloud Data Warehousing
Migrating or setting up data warehousing on platforms like AWS Redshift, Azure Synapse, or Google BigQuery.
Sales Analytics
Developing a data warehouse solution to analyze sales data, track trends, and optimize revenue strategies.
Operational Analytics
Creating a data warehouse to optimize operational metrics like production efficiency and resource utilization.
Financial Reporting
Consolidating financial data from diverse sources in a data warehouse for accurate and timely analysis and reporting.
Transportation Analytics
Analyzing logistics data in a data warehouse to optimize routes and improve supply chain operations.
Telecom Network Performance
Analyzing network data in a data warehouse to detect anomalies and optimize service quality.
The SLA way to Become
a Data Warehousing Expert
Enrollment
Technology Training
Realtime Projects
Placement Training
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement Support for a Data Warehousing Job
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
The Data Warehousing Course
How will I get hands-on experience while learning Data Warehousing?
1.
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.
How is Data Warehousing different from traditional databases?
2.
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.
What are the different warehouses I can use for Data Warehousing?
3.
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.
What are the skill sets necessary to be successful in Data Warehousing?
4.
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.
Is it hard to learn Data Warehouse?
5.
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.
What is the added advantage studying Data Warehousing at SoftLogic?
6.
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.
What is the difference between Data Warehousing and Business Intelligence?
7.
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.
Is Data Warehousing an expensive process?
8.
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.
Does the course cover all aspects of Data Warehousing?
9.
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.
What is the best way to learn Data Warehousing?
10.
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 for
The Data Warehousing Course
Our Data Warehousing Training in Chennai 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 Data Warehousing course syllabus will teach you topics that no other institute will teach. Enroll in our Data Warehousing training to explore some innovative Top project ideas for the Data Warehousing.
1.
SCOPE OF DATA WAREHOUSES ?
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.
2.
KEY CHARACTERISTICS OF A DATA WAREHOUSE
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.