Data Warehousing Certification Training
Access Duration - 365 Days
Awarded By Edureka
Guided Learning Hours (20)
Course Material
Number of Modules 06
Self-study Online
4.5( 2 REVIEWS )
128 STUDENTS
Awarded by
What Will I Learn?
Understand the need and concepts of data warehouse
Learn to implement concepts of dimension
Learn how to implement ETL jobs
Learn to implement schema concepts, data modeling and normalisation
Overview
If you wish to become a business analyst, architect or developer in data warehouse, the Data Warehousing Certification Training is designed to give you an understanding of the concepts of data warehousing such as Metadata, Schema, Facts, Normalisation and Data Transformation. You will learn to visualise data, design and build a data warehouse and how to incorporate tools, technologies and advanced concepts. Understand the fundamentals of database management, foundation of business intelligence and data warehousing.
The Data Warehousing Certification Training will provide in-depth on how it can help stakeholders derive decisions that are vital to running a business. The course will equip you with data manipulation and design skills, and you will soon learn to visualise and integrate data using Visual Analytics.
The Data Warehousing Certification Training will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles in database management.
Why You Should Consider Taking this Course at Global Edulink?
Global Edulink is a leading online provider for several accrediting bodies, and provides learners the opportunity to take this exclusive course awarded by Edureka. At Global Edulink, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course. Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships and their favourite restaurants.
- Access Duration
- Who is this Course for?
- Entry Requirement
- Method of Assessment
- Certification
- Awarding Body
- Career Path & Progression
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lessons at any time.
This course is recommended for,
- Project Managers
- Testing Professionals
- Analytics Professionals
- Software Developers
- Software Architects
- Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
- A sound educational background is recommended
In order to complete the Course Data Warehousing Certification Training, learners will have to submit an assignment. The assignment will demonstrate your familiarity with the particular subject and will test your ability to apply it in a real-world scenario.
Upon the successful completion of the course, you will be awarded the Data Warehousing Certification Training by Edureka.
Edureka is a pioneer in online learning and an agency that has frequently and consistently collaborated with educational and academic institutes. It guarantees expert commitment and is dedicated to learners taking their courses. Edureka is internationally recognised and takes learners a step closer to a leading career in the IT industry.
The Data Warehousing Certification Training will improve your candidature for a number of jobs in data warehousing and business intelligence. You can study further courses in the same field and enhance your academic expertise, and add this as a valuable skillset on your resume. Your skills will be recognised by leading organisations that give you the opportunity to land a well-paying job and improve future prospects. Given below are job titles you can compete for, along with the average UK salary per annum according to https://www.glassdoor.com.
- Project Managers - £75,000 (Approximately)
- Software Developers - £70,000 (Approximately)
- Software Architects - £87,000 (Approximately)
Course Curriculum
| 1: Introduction to Data Warehouse | |||
| What is a data warehouse? – Definition and explanation of the four terms – subject oriented, integrated, non volatile and time variant | |||
| Need for a data warehouse | |||
| Difference between a database and a data warehouse. OLTP and OLAP? | |||
| Datamart – The smaller cousin of the data warehouse | |||
| ODS – Operational Data Store – Definition and explanation of 4 terms – Subject oriented, Integrated, Current, Volatile, Detailed | |||
| Benefits of ODS | |||
| Design approach – Top down approach, bottom up approach, Federated | |||
| 2: Dimension and Fact | |||
| Dimensions and facts – What are dimensions and facts? | |||
| Types of dimensions – emphasis on SCD 1,2,3 implementationsTypes of dimensions | |||
| Types of facts | |||
| What are hierarchies – Types of Hierarchies | |||
| 3: Normalization and Schemas | |||
| Normalization | |||
| Schemas – What is a schema. Types – Star, Snowflake, Galaxy | |||
| Significant role of meta data | |||
| 4: Modeling | |||
| Requirement gathering | |||
| Principles of dimensional modelling | |||
| Modeling – ER diagrams | |||
| 5: ETL in Detail | |||
| ETL Concept – Architectural components – like Source, Staging, Atomic, Dimension | |||
| Transformation – Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application | |||
| Data Loading techniques | |||
| 6: Project | |||
| Discuss a project | |||
| Its problem statement | |||
| Probable solutions | |||
| Implement one solution | |||
Ernest Macdonald
It was an informative course and just what I was looking for. The course focused on data warehousing and how to become an expert in business intelligence.
Karina Burke
I was guided right from the start of the course. A representative spoke to me and ensured I had everything I needed to go ahead. It was a comfortable learning experience.