Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Articles by Amrendra Patel
Page 3 of 4
Database Languages and Interface
Database Languages Database languages are used to read, store and update the data in the database. Specific languages are used to perform various operations of the database. Types of Database Languages DDL(Data Definition Language) Data Definition Language(DDL) is used for describing structures or patterns and its relationship in a database. It is also used to define the database schema, tables, index, Constraints, etc. It can also be used to store information like the number of tables, names, columns, indexes, etc. The commands only affect the database structure and not the data. The commands ...
Read MoreDML(Data Manipulation Language)
It refers to a language that is used to insert, delete and update data in a database. It is used for the manipulation of data in the database.DCL is used together with DML because the changes made by dml wouldn't be saved permanently and have a chance of rolling back. Here are three DML commands: Insert into command It is used to insert a data row in a table. Syntax INSERT INTO table_name(col1, col2, col3, ..) VALUES (value1, value2, value3, ...); or INSERT INTO table_name VALUES (value1, value2, value3, ...); Example This example will show the ...
Read MoreData Manipulation in Cassandra
Data manipulation is the handling of data in a database server. The data is handled and manipulated by using different types of commands which are present in a query. It helps us perform different types of operations on databases. There are four data manipulation commands. Insert It is used to insert data into the table. It can be used for adding more data to a pre−existing table. The motive is to insert the data into the table by using an INSERT statement. Syntax INSERT INTO table_name(parameters) VALUES (values_for_parameter); Here, table_name is the name of the ...
Read MoreData Management Issue in Mobile Database
Data management that allows to access data from devices is the main problem. The mobile database allows applications to access data from devices even when on the move. It is a database that connects devices over a wireless network. Here, the client and server have a wireless connection. The wired connections have the entire database distributed with full or partial replication. Fixed hosts are there to perform data management with the help of database servers. Base stations are present at fixed locations to pass communication with the mobile units to and from the fixed hosts. Issues that arise in ...
Read MoreDistributed Catalogue Management
Catalogs are referred to as database systems that contain information about objects present in the database itself or the database itself that contains metadata of a distributed database. Catalog management is to be handled effectively as it will affect the performance of site autonomy, view management, and data distribution and replication. Distributed catalog management knows the data distribution across the sites. If any fragmentation and replication of relation occur, then with the help of a distributed catalog, we can uniquely find the replica of each fragment. Global relation name is shown as , and Global replica name is ...
Read MoreDistributed Consensus in Distributed System
Distributed Consensus Distributed consensus plays a vital role in decentralized systems, ensuring reliability, fault tolerance, and agreement among multiple parties. Distributed consensus occurs when multiple parties try to accept some values, which is difficult as agreeing is not easy. The complexity to achieve consensus increases as an increase in the number of parties agree on an agreement. Various sites are working together to do a common task by communicating with each other via a network and agreeing to some values which come under distributed consensus. Importance of Distributed Consensus in Distributed Systems In a distributed or decentralized multi−agent platform, ...
Read MoreDouble Buffering
Double buffering is essential for improving user experience and performance. This method is extensively used to reduce delays, increase performance, and enable smooth multitasking in database management systems, streaming media applications, and graphics rendering. In order to optimise data transit and processing, double buffering is used which is a programming approach that uses two buffers or temporary storage spaces. It enables the execution of input and output processes simultaneously, thereby minimising delays and enhancing system performance as a whole. Double buffering allows for efficient multitasking and effective resource management by using one buffer for data storage while the other ...
Read MoreDrop Schema in SQL Server
A schema is a logical structure that stores database objects in SQL Server. It offers a method for classifying and organizing database items including tables, views, and processes. There could be instances where you need to delete a schema from your database. The SQL Server DROP SCHEMA command is useful in this situation. We can delete a schema from the database using the DROP SCHEMA statement. For database administrators and developers who wish to effectively control the structure of their databases, the Drop statement is a crucial tool. Syntax DROP SCHEMA [ IF EXISTS ] schema_name; Here, If ...
Read MoreEconomic Factors(Choices of DBMS)
Making the best option for the organisation's Database Management System (DBMS) is crucial since it may have a big influence on the business's operations and financial resources. When choosing a DBMS, a number of variables come into play, including technical concerns, organisational politics, and economic issues. We may make an educated choice that is in line with the financial objectives and needs of the organisation by being aware of these economic considerations. Factors to Consider Software Acquisition Cost The cost of a software purchase is one of the main economic aspects to consider when selecting a DBMS. This refers ...
Read MoreEncapsulation of Operations and Persistence of Objects
Encapsulation of Operations Encapsulation of operations refers to the behavior of objects in object−oriented database systems(ODBS)through the responsibilities that can be carried out. Objects can be created, changed, retrieved, or deleted by the use of encapsulation of operations. Customers simply receive knowledge of the operations like interface or signature and aren't made privy to how those operations are honestly achieved. The implementation includes the specification of any hidden internal information systems in addition to the common sense that determines the operations, while the interface presents the call and parameters of each action. ODBs offer a sure stage of abstraction ...
Read More