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Data Warehousing Certification Training

Data Warehousing Certification Training

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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.

6k+ satisfied learners Read Reviews

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Curriculum

Introduction to Data Warehouse

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

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Dimension and Fact

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 Hierarchies

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Normalization and Schemas

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

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Modeling

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

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ETL in Detail

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.

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Project

Learning Objectives - Implementing a data warehouse Project.

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

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Course Details

About The Course

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

Course Objectives

After the completion of Data warehousing course at Edureka, 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 modelling, normalization and schema concepts 4. Model a Data warehouse

5. Implement ETL jobs

Who should go for this course?

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

Pre-requisites

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

Why learn Data Warehousing?

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.

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Certification

Edureka’s Data Warehousing Professional Certificate Holders work at 1000s of companies like

Data Warehousing Certification Training Certificate

John Doe

Data Warehousing Professional

with Grade X

XYZ1234 31st Jul 2024

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

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Testimonial Reviews

A

Ashish Kulkarni

Executive is so kind and helpful. I discussed with Rishita about my issue in self paced course and s ... Read More

Chandrasekhara Rao Chitiprolu

I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cass ... Read More

Michael HarkinsSolution Engineer-Open Source Analytics at IBM, former Systems Architect at Hortonworks

The courses are top rate. The best part is live instruction, with playback. You get all the presenta ... Read More

Vijay KalkundriPrincipal Engineer at Reflektion, former Senior Test Engineer at Nokia

I had a great experience in taking the Hadoop course from Edureka. It is the only course in the mark ... Read More

Tejinder SinghPGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab

There is a plethora of online training material available for Android; the reason I chose Edureka is ... Read More

Zakir KhanSenior Associate, Syntel, Thane, Maharashtra, India

The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs e ... Read More

Video Reviews

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

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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.

Forum

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

FAQ's

How will I execute the Practicals?

For your practical work, we will help you setup Edureka's Virtual Machine in your System. The required installation guide is present in LMS.

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

As soon as you enrol into the course, your LMS (The Learning Management System) access will be functional. You will immediately get access to our course content in the form of a complete set of Videos, PPTs, PDFs and Assignments. You can start learning right away.

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

Yes! Soon after enrolling you have lifetime access to the course materials.

Do you provide placement assistance?

Edureka 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.

Are there Pre-requisites for learning this course?

The pre-requisites for this course include basic knowledge of SQL, General Relational Database (Oracle), Microsoft Windows GUI, Basic Unix, Windows Command line.

What are the payment options?

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.

What if I have more queries?

You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at sales@edureka.co

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