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A DBMS and a flat file are similar but diffrent. A flat file can not link files together however a DBMS can.
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∙ 13y ago
A flat file is a simple file containing data without any structured format, while a Database Management System (DBMS) is a software system that manages databases by organizing, storing, and retrieving data. A DBMS allows for more organized and efficient data management, supports relationships between data, and provides features like security and data integrity that are not available with flat files.
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What is the difference between flat-file model and database model?
The flat-file model stores data in a single table or file without any relationships between tables. In contrast, the database model organizes data into multiple interrelated tables with defined relationships, providing more flexibility, security, and scalability. Databases also offer features like data integrity enforcement, concurrency control, and support for complex queries.
When would it make sense not to use a DBMS?
It may not make sense to use a database management system (DBMS) if your data storage needs are minimal, you have limited resources, or if you require a simple and lightweight solution. In these cases, using flat files or spreadsheets could be more practical and cost-effective than implementing a full-fledged DBMS.
What is the Difference between hierarchical and flat address?
Hierarchical addressing organizes addresses in a tree-like structure with levels or layers, like in IP addresses. Flat addressing treats all addresses as equal without any structure or hierarchy, like in MAC addresses.
What is a database in which ALL the data is stored in a single table known as?
A database in which ALL the data is stored in a single table is known as a flat-file database. This type of database lacks the relational structure found in more traditional databases that use multiple tables to store and organize data. Flat-file databases are simple but may limit the ability to efficiently query and manage data.
What is sql loader?
SQL LOADER is an Oracle utility used to load data into table given a datafile which has the records that need to be loaded. SQL*Loader takes data file, as well as a control file, to insert data into the table. When a Control file is executed, it can create Three (3) files called a log file, bad file or reject file, discard file. * Log file tells you the state of the tables and indexes and the number of logical records already read from the input datafile. This information can be used to resume the load where it left off. * Bad file or reject file gives you the records that were rejected because of formatting errors or because they caused Oracle errors. * Discard filespecifies the records that do not meet any of the loading criteria like when any of the WHEN clauses specified in the control file. These records differ from rejected records.
Difference between DBMS flat file system?
In DBMS Multiple user can access file at a time. but in flat file system only one user can access file at a time
Similarities between database file and flat file in DBMS?
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Difference between database file and flat file in DBMS?
Database file is one that is stored on a server and it is in the format that the database needs to read it. It is also stored in the database catalog. A flat file is one that is dumped from a database to import or export into another database or program. A flat file is fields of data separated by delimiters, which keep the fields separated for export/import.
Difference between flat file and database file?
DATABASE FILE - is one that is stored on a server and it is in the format that the database needs to read it. It is stored in the database catalog......
What is the difference between flat file system and data bases?
A flat file is in a list format (containing only one table) while databases uses different tables to store data. It is easier and faster to locate data in a database than in a flat file.
How can you justify that a DBMS is better to use than Flat-file database?
A DBMS offers quicker access to the data within the database, particularly with larger datasets. It also makes updates to the data easier.
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