Database

Data engineering continues to shift rapidly alongside advancements in cloud computing and Artificial Intelligence. Cloud-Native Systems

: Edgar F. Codd introduced the relational model in 1970. This shifted the paradigm by organizing data into structured tables linked by logical relationships.

A database is usually controlled by a . Together, the data, the DBMS, and the associated applications are referred to as a "database system," often shortened to just "database." The Evolution: From Flat Files to the Cloud database

A is more than just a storage box for files; it is an organized, structured collection of data that is electronically stored and accessed. The key word is organized . Unlike a cluttered folder of documents, a database allows for rapid retrieval, efficient updates, and complex analysis.

Here’s a text about databases:

: The logical view. It describes what data is stored within the database and the relationships between those data points.

The link between tables. An "Orders" table has a Customer_ID column, which is a Foreign Key pointing to the "Customers" table. This shifted the paradigm by organizing data into

: A central hub designed for high-scale data delivery. Databricks defines these as platforms that manage features specifically for the data science lifecycle.

: The closest layer to users. It defines specific, customized data views for different applications while hiding unrelated data for security. The key word is organized