EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials Data Warehouse Tutorial Data Warehouse Implementation
Secondary Sidebar
Data Warehouse Tutorial
  • Basic
    • What is Data Warehouse
    • Data Warehouse tools
    • Career in Data Warehousing
    • Benefits of Data Warehouse
    • Data Warehouse Architecture
    • Data Warehouse Design
    • Data Warehouse Implementation
    • Data Warehouse Features
    • Data Warehouse Modeling
    • Data Warehouse Software
    • Data Warehousing
    • Types of Data Warehouse
    • 10 Popular Data Warehouse Tools
    • Data Lake Architecture
    • Three Tier Data Warehouse Architecture
    • Data Warehouse Process
    • Database Parallelism
    • What is OLTP
    • What is OLAP
    • OLAP Tools
    • Types of OLAP
    • Operations in OLAP
    • MOLAP
    • HOLAP
    • Data Warehouse Schema
    • Data Warehouse Components
    • Snowflake Schema
    • Snowflake Architecture
    • What is Star Schema
    • Galaxy Schema
    • What is Fact Table
    • Kimball Methodology
    • Data Warehouse Testing
    • Operational Data Stores
  • ETL
    • What is Data Mart
    • What is Data Cube
    • What is a Data Lake
    • What is Data Integration
    • What is ETL
    • What is ETL Testing
    • ETL Testing Tools
    • ETL architecture
    • Dimension Table
    • Multidimensional Data Model
    • Fact Constellation Schema
    • ETL Process
  • Interview Questions
    • Data Warehouse Interview Questions
    • ETL Interview Questions
    • ETL Testing Interview Questions
    • Data Warehousing Interview Questions

Data Warehouse Implementation

By Pooja GuptaPooja Gupta

data warehouse implementaion

Introduction to Data Warehouse Implementation

Data Warehouse Implementation is a series of activities that are essential to create a fully functioning Data Warehouse, after classifying, analyzing and designing the Data Warehouse with respect to the requirements provided by the client. The various phases of Data Warehouse Implementation are ‘Planning’, ‘Data Gathering’, ‘Data Analysis’ and ‘Business Actions’. Every Data Warehouse needs a few important components, that needs to be defined while designing the implementation of the system, such as Data Marts, OLTP/ OLAP, ETL, Metadata, etc.

data warehouse

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

(Source: Stoneridge software,2019.)

As the volume of data, is increasing day by day the traditional ways and methods that were used to manage and manipulate data were becoming obsolete in nature, to overcome this problem we need to have a more effective and advanced data storage system that is with the use of data warehouses.

What is Data Warehouse Implementation?

Following are the explanation for what is data warehouse implementation:

  • To identify and store the data in an effective manner for an organization, the concept of data warehousing comes into the picture. Let’s start with- what is a data warehouse? A data warehouse can be said is the storage area where huge volumes and amounts of data are stored for an organization that can help them in making decisions based on strong data analysis and business intelligence.
  • It is a repository, which stores data from various sources with various formats and with the help of ETL tools convert this data into a standard format that can be used and for reporting and dashboarding purposes of the organization. This helps in generating meaningful insights out of the data collected by the organization.
  • The process of establishing and implementing a data warehouse system in an organization is known as data warehouse implementation. Data warehousing is one of the most important components of the business intelligence process for an organization. The data warehousing implementation process requires a series of steps that need to be followed in a very effective manner. The processes are as follows:

data warehouse implementation

1. Planning

Planning is one of the most important steps of a process. It helps in getting a pathway or the road map that we have to follow to achieve our described goals and objectives. It is the cornerstone of every successful project that is implemented in organizations. In case of the absence of sound planning, then there are high chances of failure of the project.

2. Data gathering

As data is available everywhere, but all the data available is not helpful for an organization. Data gathering is a process that involves the collection of data from various sources that can be used for data analysis and reporting.it involves a wide range of steps and it is a time-consuming process is we need to first identify the data that is going to be helpful for organization.

3. Data analysis

Once the data is collected, the next step which comes into the picture is data analysis. The process of generating and getting meaningful insights out of the day together is known as data analysis.

4. Business actions

The insights and information attained from data analysis are further used for making decisions for the organization. Higher the level of insights higher would be the efficiency of the business decisions and these decisions are going to decide the future of the organization.

Components of Data Warehouse Implementation

Some of the major components of data warehousing implementation are as follows:

componenet of data warehouse

1. Data Marts

A data mart is an important component of data warehousing. It can be said as the subset of a data warehouse that is focused on a particular Business line like sales, marketing, human resource, etc.

2. OLTP

The OLTP layer deals with the processing of transactional data on the task associated with an organization. It stands for online transactional processing. It deals with transactional data which is frequently changing in nature.

3. OLAP

OLAP layer helps in processing and analyzing the data stored in the database. It stands for the online analytical process. This layer deals with the master data which is not frequently changing in nature.

4. ETL

The ETL process helps in fetching the data from different sources into a single data warehouse. The process of extraction transformation and loading is used for data warehousing.

5. Metadata

The data of data is known as metadata. It helps in getting granularity of data. It helps in getting the information about the data. For example, if we have country data, then state data, city data, and the area level can be called the metadata of the data.

Advantages of Data Warehouse Implementation

There are many advantages and benefits that an organization can facilitate the use of a sound data warehousing system. Some of the most prominent benefits and advantages of using the data warehousing system in an organization are as follows:

Advantage data warehouse

1. Better data management and delivery

One of the most important advantages of using a data warehousing system in the organization is efficient data management and delivery. It helps in the storage of all types of data from different sources into a single base that can be used for analysis purposes.

2. Better decision making

The use of effective inside cell business intelligence the management of the organization can take effective decisions based on solid data analysis.

3. Cost reduction

It helps in avoiding duplication of works that ultimately helps in reducing the cost and increasing the efficiency of the organization.

4. Competitive advantage

As the organization is able to make effective decisions, they would be ready to out with their competitors as they are able to fully utilize their resources and can focus on activities in a better way.

Conclusion

It can be said and concluded that with the use of a sound data warehouse implementation in the organization, the organization can easily increase its efficiency, can easily achieve its goals and objectives with minimal efforts and can do wonders for the organization. With the use of effective data warehouse management, one can take advantage of numerous data available and can reach the heights of success.

Recommended Articles

This is a guide to Data Warehouse Implementation. Here we discuss what is Data Warehouse Implementation with component and advantages. You can also go through our other related articles to learn more-

  1. Data Warehouse tools
  2. Data Warehouse Modeling
  3. Data Science Skills
  4. Data Science Algorithms
  5. Data Warehouse Design
  6. Guide to Methodologies of Data Warehouse Testing
Popular Course in this category
All in One Data Science Bundle (360+ Courses, 50+ projects)
  360+ Online Courses |  1500+ Hours |  Verifiable Certificates |  Lifetime Access
4.7
Price

View Course

Related Courses

Business Intelligence Training (12 Courses, 6+ Projects)4.9
Data Visualization Training (15 Courses, 5+ Projects)4.8
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more