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.
Engr. Sujoy
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.
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 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 -
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.
For your practical work, we will help you set up Dean Institute Virtual Machine in your System. The required installation guide is present in LMS.
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.
Yes! Soon after enrolling you have lifetime access to the course materials.
Dena Institute 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.
The pre-requisites for this course include basic knowledge of SQL, General Relational Database (Oracle), Microsoft Windows GUI, Basic Unix, Windows Command line.
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.
You can give us a CALL at +1-888-824-7822 (US Tollfree Number)
Enrolled
Hours Required
32 Hours
0 video
Quizzes
Certificate
| January 24th | Sat & Sun (4 Weeks) | Time-08:00 am to 09:30 am |
