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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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
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?
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
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 -
Implementing a data warehouse Project.
Topics - Discuss a project, its problem statement,
probable solutions, and implement one solution.
This Data warehousing course enables participants with concepts of Data warehousing like Facts, Schema, Metadata, Normalization, Data transformation, Dimensional Modeling and ETL Concepts.
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
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
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.
Certification
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