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Data Warehousing Training

Live Online & Classroom Enterprise Certification Training

Participants of data warehousing course get to know how the data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad-hoc queries and decision making.

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What is Data Warehousing Training about?

Data warehouse training course adopts a step-by-step approach to explain all the necessary concepts of data warehousing. This enables participants with concepts of Data warehousing like Facts, Schema, Metadata, Normalization, Data transformation, Dimensional Modeling, and ETL Concepts.

What are the objectives of Data Warehousing Training ?

After the completion of data warehousing course, you will be able to: 

  • Explain the concept and need of Data warehouse 
  • Implement concepts of dimension and fact table 
  • Implement data modeling, normalization and schema concepts
  • Model a Data warehouse 
  • Implement ETL jobs

 

Who is Data Warehousing Training for?

  • Business Intelligence Professionals
  • ETL Professionals
  • Testing Professionals
  • Analytics Professionals

What are the prerequisites for Data Warehousing Training?

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

Available Training Modes

Live Online Training

18 Hours

Classroom Training

3 Days

Course Outline Expand All

Expand All

  • Understanding a Data Warehouse
  • Why a Data Warehouse is Separated from Operational Databases
  • Data Warehouse Features
  • Data Warehouse Applications
  • Types of Data Warehouse
  • Metadata
  • Metadata Repository
  • Data Cube
  • Data Mart
  • Virtual Warehouse
  • Delivery Method
  • IT Strategy
  • Business Requirements
  • Technical Blueprint
  • Building the version
  • History Load
  • Ad hoc Query
  • Automatio
  • Process Flow in Data Warehouse
  • Extract and Load Process
  • Business Analysis Framework
  • Three-Tier Data Warehouse Architecture
  • Data Warehouse Models
  • Load Manager
  • Warehouse Manager
  • Query Manage
  • Relational OLAP (ROLAP)
  • Multidimensional OLAP (MOLAP)
  • Hybrid OLAP (HOLAP)
  • Specialized SQL Servers
  • Star Schema
  • Snowflake Schema
  • Fact Constellation Schema
  • Horizontal Partitioning
  • Vertical Partitio
  • What is Metadata?
  • Categories of Metadata
  • Role of Metadata
  • Metadata Repository
  • Challenges for Metadata Management
  • 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
  • Normalizatio
  • Requirement gathering
  • Principles of dimensional modelling
  • Modeling - ER diagrams
  • ETL Concept - Architectural components - like Source, Staging, Atomic, Dimension
  • Transformation - Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application
  • Data Loading techniques.
  • Why Do We Need a Data Mart?
  • Cost-effective Data Marting
  • Designing Data Marts
  • System Managers and Process Managers
  • Security Requirements
  • Documentation
  • Impact of Security on Design
  • Backup Terminologies
  • Hardware Backup
  • Software Backups
  • Unit testing
  • Integration testing
  • System testing

Who is the instructor for this training?

The trainer for this Data Warehousing Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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