Data Warehouse Certification Training

Data Warehousing Certification Training

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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Data Warehousing Certification Training UpComing Batches

Dec-21 - Feb-01

Weekend
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Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Dec-14 - Jan-25

Weekday
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Timings: 20:30 PM To 23:30 PM (IST)

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Dec-21 - Feb-01

Weekend
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Timings: 07:00 AM To 10:00 AM (IST)

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Dec-28 - Feb-08

Weekday
FILLING FAST

Timings: 20:30 PM To 23:30 PM (IST)

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Jan-04 - Feb-15

Weekend

Timings: 07:00 AM To 10:00 AM (IST)

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Jan-11 - Feb-22

Weekday

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now
Be future ready. Start learning
Structure your learning and get a certificate to prove it.
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Course Curriculum

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Data Warehousing Certification Training

SELF PACED

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.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Data Warehouse Along With The Implementations

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 : 

  • 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.

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

Topics :

  • Dimensions and Facts.
  • What are Dimensions and Facts?
  • Types of Dimensions - Emphasis on SCD 1,2,3 Implementations.
  • Types of Facts.
  • What are Hierarchies?
  • Types of Hierarchies.

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 :

  • Normalization.
  • Schemas.
  • What is a Schema?
  • Types - Star, Snowflake, Galaxy.
  • Significant Role of Meta Data.

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

Topics :

  • Requirement Gathering.
  • Principles of Dimensional Modelling.
  • 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 :

  • ETL Concept - Architectural Components - like Source, Staging, Atomic, Dimension.
  • Transformation - Data Validation.
  • Data Accuracy.
  • Data Type Conversion.
  • Business Rule Application.
  • Data Loading Techniques.

Learning Objectives - Implementing a data warehouse Project.

Topics :

  • Discuss Project and its Problem Statement.
  • Probable Solutions and Implement One Solution.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Curriculum

Projects

Which case studies will be the part of this course?

Creation of Sales Data Warehouse & Data MartsIndustry, Retail Data, North-wind/Adventure Works dataset. Problem Statement: Creation Sales Data Mart using erwin r9

What are the pre-requisites for 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.

How will I execute the practicals?

For doing the practicals we will help you to setup erwin r9, Talend 5.x and Tableau 9.x. The detailed installation guides are provided in the LMS for setting up the environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

Course Description

About The Course
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.
Objectives Of Our Online PySpark Training Course
Course Objectives After the completion of Data warehousing course at OL Tech Edu, you will be able to:
  • Understand the concept and need of Data warehouse.
  • Implement concepts of dimension and fact table.
  • Implement data modelling, normalization and schema concepts.
  • Model a Data warehouse.
  • Implement ETL jobs.
Go For Online Spark Training
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 :
  • BI /ETL Professionals.
  • Project Managers.
  • Testing Professionals.
  • Mainframe Professionals.
  • Analytics Professionals.
  • Software Developers and Architects.
Learning With Our PySpark Certification Training
Pre-requisites The pre-requisites for this course includes basic understanding of Databases.
Who Should Go For Our PySpark Training Course
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.

Course Certification

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Course FAQ's

Features

Explore step by step paths to get started on your journey to Jobs of Today and Tomorrow.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

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