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Table of contents
1.
Introduction
2.
What is a Database
3.
What is a Data Warehouse
4.
Database Characteristics
4.1.
Examples
5.
Data Warehouse Characteristics
5.1.
Examples
6.
Difference between Database and Data Warehouse
7.
FAQs
8.
Conclusion
Last Updated: Mar 27, 2024
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Databases vs Data Warehouses

Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

Introduction

In this section, we will be discussing the Databases and Data Warehouses. We have already covered the Data Warehouses. So in this article, we shall be discussing the Databases. To understand the topic, let us move to the topic.

What is a Database

A Database can be defined as storage that stores real-time information regarding one particular part of your interest? Its primary purpose is to purpose the daily transactions that your organization does. For example, if your organization is recoding items, your database efficiently handles many simple queries.

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What is a Data Warehouse

Ḍata Warehouse is a mixture of technologies and components to use data strategically. It stores and manages data from various sources, which provides meaningful business insight. It contains electronic storage of a large amount of information designed to query and analyze transaction processing. In other words, it is a process of transforming data into information.

Database Characteristics

Different types of databases have developed over the last several decades. All databases stores information, but each database will have its characteristics. Relational databases stores the data in fixed rows and columns. Databases can either be structured or semi-structured, depending on the type.

Examples

  1. Relational databases: Oracle, MYSQL, Microsoft SQL, and Postgre SQL
  2. Document databases: MongoDB and CouchDB
  3. Key-value databases: Redis and DynamoDB
  4. Wide-column stores: Cassandra and HBase
  5. Graph databases: Neo4j and Amazon Neptune  

Data Warehouse Characteristics

Data warehouse stores large amounts of current and historical data from various sources. They consist of raw ingested data to highly cleansed and filtered data. A data warehouse typically has a pre-defined and fixed relational schema.

Some data warehouses also support semi-structured data.

Examples

  1. Amazon Redshift
  2. Google BigQuery
  3. IBM Db2 Warehouse
  4. Microsoft Azure Synapse
  5. Snowflake

Difference between Database and Data Warehouse

FAQs

  1. What is the difference between a database and a data warehouse?
    A database stores the current data, whereas the warehouse stores historical data.
     
  2. Why are data warehouses important?
    It is imperative and helps in data governance, evaluating high-priority KPIs, change management planning, and Analyzing data sources.
     
  3. What are the advantages of a data warehouse?
    Data warehouses make accessible a wide variety of data. They can work together and, therefore, increase business applications' operational value.

Conclusion

In this article, we have covered the Databases and Data warehouses. We briefly introduced these topics. We also explained these concepts about Databases and Data warehouses. We also discussed their characteristics along with their examples. We discussed the difference between them too. We hope that this blog might have helped you enhance your knowledge of Databases and Data warehouses. If you want to learn and explore more about such topics, please visit Data Base Management System. We hope that this blog might have helped you in enhancing your knowledge. If you liked this article, please give it a thumbs up, which might help me and other ninjas grow. "Happy Coding!".

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