Overview of Data Warehousing and Database Management
In today’s data-driven world, managing and analyzing large volumes of data is becoming increasingly important. That’s where data warehousing and database management come into play.
Data warehousing is the process of collecting, managing, and storing data from various sources to support business intelligence activities.
On the other hand, database management involves designing, building, and maintaining a database system that enables efficient data storage, retrieval, and analysis.
We will go into the realm of data warehousing and database administration in this post, covering major ideas, resources, and methods. We will examine how data warehousing may be used to help data analysis and corporate decision-making, as well as the differences between SQL and NoSQL databases and their applications.
This review of data warehousing and database administration will be useful to everyone, from novices to seasoned data professionals.
Let’s begin by gaining a basic grasp of data warehousing.
Data Warehouse
A central repository for data gathered from numerous sources across an organization is known as a data warehouse. To enable analysis and reporting, the data is categorized and formatted during storage.
