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A Self-Paced course designed to give you a head start into Data warehousing and train you on different concepts of Data warehousing along with the implementations of these concepts

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Weekend $189
Weekdays

Training Features

Course type

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.


Real-life Case Studies

Towards the end of the training, you will be working on a project where you will implement the techniques learnt during the course.


Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.


Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.f

 


Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.


Course Description

This Data warehousing course enables participants with concepts of Data warehousing like Facts, Schema, Metadata, Normalization, Data transformation, Dimensional Modeling and ETL Concepts.

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

1. Understand the concept and need of Data warehouse 

2. Implement concepts of dimension and fact table 

3. Implement data modeling, normalization and schema concepts 4. Model a Data warehouse 

5. Implement ETL jobs

This course is a foundation to anyone who aspires to become a Data warehouse Architect, a Data warehouse Developer or a Data warehouse Business Analyst in the field of Data warehousing and Business Intelligence. The following professionals can go for this course : 

1. BI /ETL Professionals

2. Project Managers 

3. Testing Professionals 

4. Mainframe Professionals 

5. Analytics Professionals 

6. Software Developers and Architects

The pre-requisites for this course includes basic understanding of Databases.

As we move from intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse comes into picture. There is a huge demand for Data warehousing professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space

Project

Curriculum

Learning Objectives - Discussing about the basic concepts of a data warehouse and why it is needed. Difference between an operational system and an analytical system, Datamarts. Approaches to build a data warehouse.

Topics -  
1. What is a data warehouse? - Definition and explanation of the four terms - subject oriented, integrated, non volatile and time variant

2. Need for a data warehouse 3. Difference between a database and a data warehouse. OLTP and OLAP? 4. Datamart - The smaller cousin of the data warehouse

5. ODS - Operational Data Store - Definition and explanation of 4 terms - Subject oriented, Integrated, Current, Volatile, Detailed

6. Benefits of ODS 7. Design approach - Top down approach, bottom up approach, Federated

Learning Objectives - Learning what a dimension and a fact is, the different types of dimensions and facts. Reporting concept of Hierarchy.

Topics - 
1. Dimensions and facts - What are dimensions and facts?

2. Types of dimensions - emphasis on SCD 1,2,3 implementations 3. Types of facts 4. What are hierarchies - Types of Hierarchiesf

 

Learning Objectives - Organizing data in multiple tables. Understanding normalization and its different forms. Learning what is a schema and the different types of schemas along with meta data.

Topics - 
1. Normalization

2. Schemas - What is a schema. Types - Star, Snowflake, Galaxy 3. Significant role of meta data

Learning Objectives - Understanding principles of requirement gathering to build a warehouse and dimensional modeling.

Topics - 
1. Requirement gathering

2. Principles of dimensional modelling

3. Modeling - ER diagrams

Learning Objectives - Understanding where will the data come from and how will the data come and Populating the warehouse.Learning concepts of Extracting data, Transforming data and Loading the data into different tables.

Topics - 
1. ETL Concept - Architectural components - like Source, Staging, Atomic, Dimension

2. Transformation - Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application

3. Data Loading techniques.Learning Objectives - Understanding where will the data come from and how will the data come and Populating the warehouse.Learning concepts of Extracting data, Transforming data and Loading the data into different tables.


Topics - 
1. ETL Concept - Architectural components - like Source, Staging, Atomic, Dimension

2. Transformation - Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application

3. Data Loading techniques.

Learning Objectives - Implementing a data warehouse Project.

Topics - Discuss a project, its problem statement, probable solutions, and implement one solution.f

 

FAQ's

Certpine is the largest online education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don't guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

This is a simple scripting language and thus there is no need for any knowledge in Javaf

 

You can pay by Credit Card, Debit Card or NetBanking from all the leading banks. We use a CCAvenue Payment Gateway. For USD payment, you can pay by Paypal. We also have EMI options available.f

 

Certification

At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a dataset to work. Once you are successfully through with the project (reviewed by an expert), you will be awarded a certificate with a performance based grading. If your project is not approved in 1st attempt, you can take additional assistance to understand the concepts better and reattempt the Project free of cost.f