What is flat database give two examples?

What is flat database give two examples?

Brainly User. Answer: Examples of software that can create flat file databases include Microsoft Excel, Microsoft Access, FileMaker or FileMaker Pro, Berkeley DB, and Borland Reflex.

What are examples of flattened file types?

There are two common types of flat files: CSV (comma separated values) and delimited files. Both are file formats that represent relational data in a text file.

What is a flat file in a database?

A flat-file database is a database of just one table. It can be created in database software or in a spreadsheet and is often saved as a CSV file.

Is MS Excel example of flat-file database?

A flat file database is a simple two-dimensional table structure that’s made up of rows and columns, similar to something that you might create in a spreadsheet program like Microsoft Excel. You might have heard of a CSV, or comma separated values file, which is a very common flat file database.

What are the differences between flat files and databases?

Difference between database and flat files are given below: Database provide more flexibility whereas flat file provide less flexibility. Database system provide data consistency whereas flat file can not provide data consistency. Database is more secure over flat files. Database support DML and DDL whereas flat files can not support these.

How do you create a flat file?

To create a flat file module: Right-click the Files node in the Projects Navigator and select New Flat File Module. Define the module in the following steps: “Describing the Flat File Module” The Finish page summarizes the information you provided on each of the wizard pages.

What are disadvantages of flat file data base?

Disadvantages of flat-file database Flat file database is harder to update. Harder to change data format. It is poor database in terms of complex queries. It increased Redundancy and inconsistency.

What are the advantages of flat file databases?

All records are stored in one place.

  • Easy to understand and configure using various standard office applications.
  • It is an excellent option for small databases.
  • It requires less hardware and software components.