Data Warehousing Certification Training

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Data Warehousing Certification Training

A self-paced course designed to give you a head start in data warehousing by training you on various principles and applications of data warehousing.

Why This Course

IDC ReportData ranks ERwin as the global market leader in data modeling, with a 33% market share.

The warehouse management industry is expected to reach $17 billion by 2018 according to Global Industry Analysts.

Indeed.com reports that a Warehouse Developer in the United States may make up to $101,000 per year. Major organizations are spending a lot of money to get more value out of the data they collect. This means that Business Intelligence and Data Warehousing technologies like Erwin will benefit greatly from fast adoption. Professionals with abilities such as data modeling and ETL implementation will be in high demand. This can result in a significant increase in pay for qualified individuals.

Why Enroll In Course?

Data Warehousing Certification Training provides a recognized certification that validates an individual’s expertise in data warehousing, enhancing their professional credibility and employability. Participants gain practical, hands-on experience and a deeper understanding of data warehousing concepts and their applications. This training allows individuals to access new career opportunities in data analysis, business intelligence analysis, and data warehousing development, making it an excellent choice for those looking to advance their careers in data warehousing and management.

Training Features

Live Interactive Learning

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Introduction to Data Warehouse

Learning Objectives - As we transition from intuition-based decision making to fact-based decision making, it is becoming increasingly vital to collect and preserve data in a way that helps us to make better judgements. This is where a data warehouse comes in. There is a high need for data warehousing specialists, and this course serves as a foundation for a wide range of prospects in the Business Intelligence field.

Topics -

What exactly is a data warehouse? - Define and explain the four words subject oriented, integrated, non volatile, and time variant.
The requirement for a data warehouse
The distinction between a database and a data warehouse. OLTP or OLAP?
Datamart – The data warehouse's smaller relative.
ODS - Operational Data Store - Definition and explanation of four terms: subject-oriented, integrated, current, volatile, and detailed.
The Advantages of ODS 7. Design approach - top down, bottom up, federated

Dimension and Fact

Learning Objectives - Understanding what a dimension and a fact are, as well as the many sorts of dimensions and facts. Hierarchy reporting concept.

Topics -

Dimensions and facts - What do dimensions and facts refer to?
Dimensional types - focus on SCD 1,2,3 implementations
Different types of information
What are Hierarchies - Hierarchy Types

Normalization and Schemas

Learning Objectives - Understanding what a dimension and a fact are, as well as the many sorts of dimensions and facts. Hierarchy reporting concept.

Topics -

Dimensions and facts - What do dimensions and facts refer to?
Dimensional types - focus on SCD 1,2,3 implementations
Different types of information 4. What are Hierarchies - Hierarchy Types

Modeling

Learning Objectives -

Understanding the fundamentals of requirement collecting and dimensional modeling in order to construct a warehouse.

Topics -

Requirement gathering
Principles of dimensional modeling
Modeling - ER diagrams

ETL in Detail

Learning Objectives-

- Understanding where and how the data will come from, as well as populating the warehouse. Learning the basics of data extraction, data transformation, and data loading into various tables.

Topics -

ETL Concept - Architectural elements such as Source, Staging, Atomic, Dimension

Data Validation, Accuracy, Data Type Conversion, and Business Rule Application

Data Loading Methodologies.

Free Career Counselling

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Certification

EduCerts Certification Process:

You will work on a real-world project at the end of the course. You will be given a Problem Statement and a dataset to work with. When you complete the project successfully (as determined by an expert), you will be issued a certificate with a performance-based rating. If your project is not accepted on the first try, you can get extra support to better understand the ideas and retry the project for free.

Online Training FAQs

How will I execute the Practical's?

We will assist you in installing EduCerts Virtual Machine on your system for your practical work. The installation instructions are available in LMS.

How soon after Signing up would I get access to the Learning Content?

Your LMS (Learning Management System) access will be activated as soon as you enroll in the course. You will get immediate access to our course content in the form of Videos, PPTs, PDFs, and Assignments. You may begin learning immediately.

Is the course material accessible to the students even after the course training is over?

Yes! You will get lifelong access to the course materials as soon as you join.

Do you provide placement assistance?

CertHippo is the largest online education organization, and many employment agencies approach us on a regular basis for our students' profiles. Because this expertise is in high demand, we assist our certified students in connecting with potential companies. We also assist our customers with résumé development, work on real-life projects, and interview preparation. Having said that, please note that we cannot promise any placements; nevertheless, if you work hard through the course and complete the project, you will have excellent hands-on experience working on a live project.

Are there Prerequisites for learning this course?

This course requires a basic understanding of SQL, General Relational Database (Oracle), Microsoft Windows GUI, Basic Unix, and Windows Command Line.

What are the payment options?

You will complete a real-world project at the end of your study. You will be given a Problem Statement as well as a dataset to work with. After completing the project satisfactorily (as determined by an expert), you will be granted a certificate with a performance-based rating. If your idea is not accepted on the first try, you can get more support to better understand the concepts and resubmit the project for free.

Course Description

About The Course

This Data Warehousing course introduces participants to data warehouse topics such as Facts, Schema, Metadata, Normalization, Data Transformation, Dimensional Modeling, and ETL topics.

Course Objectives

After the completion of Data warehousing course at EduCerts, you will be able to:

Understand the concept and need of Data warehouse
Implement concepts of dimension and fact table
Implement data modeling, normalization and schema concepts 4. Model a Data warehouse
Implement ETL

Who should go for this course?

This course is designed for anybody who wants to work in the field of data warehousing and business intelligence as a Data warehouse Architect, Data warehouse Developer, or Data warehouse Business Analyst. This training is open to the following professionals:

BI /ETL Professionals
Project Managers
Testing Professionals
Mainframe Professionals
Analytics Professionals
Software Developers and Architects

Pre-requisites

This course requires a basic familiarity of databases as a prerequisite.

Why learn Data Warehousing?

As we transition from intuition-based decision making to fact-based decision making, it is becoming increasingly vital to collect and preserve data in a way that helps us to make better judgments. This is where a data warehouse comes in. There is a high need for data warehousing specialists, and this course serves as a foundation for a wide range of prospects in the Business Intelligence field.