Data Warehouse Course And Certification

What is Data Warehouse?

Data Warehouse also known as as an Enterprise Data Warehouse (EDW) is a system used for data storage, analysis and reporting. It is considered as the core components of business intelligence. Data warehouse are central housing of data gotten from one or more separate sources. 

A Data Warehouse saves both current and historical data in one place for later analytical reports for workers all over the enterprise. It is an electronic storage of a very large quantity of data generated by a business that is designed to make querying and analysing of the data very easy. It is a process of transforming data into very useful information and also making it available to the user in an orderly manner.

The idea of a Data Warehouse was introduced in 1988 by two researchers in IBM Barry Devlin And Paul Murphy. The need to store data in a data warehouse grew up as computer systems became more advanced and complex and can handle a large amount of data. Basically, a data warehouse is a relational database that is stored on an enterprise server or more recently in the cloud.

Data gotten from many online sources such as social media, forums, web pages, directories and chat sites are taken and saved for later analysis which can be used for business intelligence, decision support, to fine-tune the customer service and to create a better version of a product etc.

Features Of Data Warehouse

The major features of a data warehouse are stated below:

1. Non-Volatile: Saying that a data warehouse is non-volatile means that data entered before is not deleted when a new data is saved in it. A data warehouse is kept as a separate part from the database that the user works with on a day by day scale so changes that arises from entering and removing data regularly from the operational database does not affect the warehouse.

2. Time-Variant: Data stored in a data ware house I uniquely identified with a particular time period. The data in a ware house gives out information from an historical point of view, In a data warehouse, you can easily go back and check for something that was stored in it by checking the time period, for example, an organization going back through it stored data of check for information an employee that was employed in a certain time.

3. Subject Oriented: A data warehouse basically provides information about a subject rather than what the organization is currently working on. The information provided could be in the form of the companies products, sales, business revenue, customers, etc. It does not focus on the ongoing operations, instead, it focusses on arranging and analyzing the data for decision making.

4. Integrated: A data warehouse is built up by joining data gotten from several different sources such as relational databases, flat files, etc. this integration increases the quick and proper analysis of the data.

Benefits Of A Data Warehouse

Below are some of the benefits of a Data Warehouse: 

1. A Data Warehouse Delivers Enhanced Business Intelligence.

2. A Data Warehouse Saves Time In Business Analytics.

3. A Data Warehouse increases Data Quality and Consistency.

4. A Data Warehouse Provides Historical Intelligence.

5. A Data Warehouse Generates a High Return On Investment.

In The Full Course, you will learn everything you need to know about Data Warehouse with Diploma Certification to showcase your knowledge and competence. 

Data Warehouse Course Outline: 

Data Warehouse - Introduction/Overview

Data Warehouse - Concepts

Data Warehouse - Terminologies

Data Warehouse - Delivery Process

Data Warehouse - System Processes

Data Warehouse - Architecture

Data Warehouse - OLAP

Data Warehouse - Relational OLAP

Data Warehouse - Multidimensional OLAP

Data Warehouse - Schemas

Data Warehouse - Partitioning Strategy

Data Warehouse - Metadata Concepts

Data Warehouse - Data Marting

Data Warehouse - System Managers

Data Warehouse - Process Managers

Data Warehouse - Security

Data Warehouse - Backup

Data Warehouse - Tuning

Data Warehouse - Testing

Data Warehouse - Future Aspects

Data Warehouse - Video Lectures 

Data Warehouse - Exams and Certification