NURS 655 Assignment Relational Database Query

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NURS 655 Assignment Relational Database Query

NURS 655 Assignment Relational Database Query

PC Users:

Complete the related MS Access query training tutorials
located in the Assignment Resources below.

Using the relational database created during the first week,
run a query to receive meaningful data output (e.g., running a query to filter
patients with a specific diagnosis).

Submit a screenshot and your query results for grading.

Mac Users:

Watch the OpenOffice Base Creating Queries video located in
the Assignment Resources below.

Using the relational database created during the first week,
run a query to receive meaningful data output (e.g., running a query to filter
patients with a specific diagnosis).

Submit a screenshot and your query results for grading.

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Relational Database Definition

relational database is a type of database that focuses on the relation between stored data elements. It allows users to establish links between different sets of data within the database and use these links to manage and reference related data.

Many relational databases use SQL (Structured Query Language) to perform queries and maintain data.

Relational vs Non-Relational Databases

Relational databases focus on relations between data. Hence, relations database need to store data in a highly structured way. This enables faster indexing and query response times and makes the data more secure and consistent.

On the other hand, NoSQL databases don’t need to rely on structure as much, which allows them to store large amounts of data, remain flexible, and easily scale storage and performance.

How Is Data in a Relational Database System Organized?

Relational database systems use a model that organizes data into tables of rows (also called records or tuples) and columns (also called attributes or fields). Generally, columns represent categories of data, while rows represent individual instances.

Let’s use a digital storefront as an example. Our database might have a table containing customer information, with columns representing customer names or addresses, while each row contains data for one individual customer.

Example of a table in a relational database

These tables can be linked or related using keys. Each row in a table is identified using a unique key, called a primary key. This primary key can be added to another table, becoming a foreign key. The primary/foreign key relationship forms the basis of the way relational databases work.

Returning to our example, if we have a table representing product orders, one of the columns might contain customer information. Here, we can import a primary key that links to a row with the information for a specific customer.

Forming a relation between two tables

This way, we can reference the data or duplicate data from the customer information table. It also means that these two tables are now related.

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