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DBMS Articles
Page 17 of 27
Basic operations and Working of LOB
LOB, or Large OBject, is a data type in database management systems (DBMS) used to store large amounts of unstructured data, such as text, images, and videos. LOB data types are useful for storing and manipulating data that does not fit neatly into a traditional row-and-column structure, such as documents, graphics, or audio files. In this article, we will explore the basic operations and working of LOB data types in DBMS and SQL. We will also provide examples of how to use LOB data types in SQL for storing and manipulating large amounts of unstructured data. Types of LOB Data ...
Read MoreAudit Trail in DBMS
Introduction An audit trail, also known as a transaction log, is a record of all changes made to a database in a DBMS (database management system). It is used to track and monitor database activity, identify and troubleshoot issues, and ensure data integrity and security. In this article, we will explore the purpose and benefits of audit trails in DBMS, how they work, and provide real-life and SQL code examples of their implementation and use. What is an audit trail in DBMS? An audit trail is a chronological record of all database transactions, including insertions, updates, and deletions. It captures ...
Read MoreWhat are different types of recoverability of schedules(DBMS)?
If any transaction that performs a dirty read operation from an uncommitted transaction and also its committed operation becomes delayed till the uncommitted transaction is either committed or rollback such type of schedules is called as Recoverable Schedules.Types of recoverable schedulesThere are three types of recoverable schedules which are explained below with relevant examples −Cascading schedulesCascadeless SchedulesStrict Schedules.The types of recoverable schedules are given below in form of a chart −Recoverable scheduleFirst, let us see an example of a recoverable schedule.T1T2R(X)W(X)W(X)R(X)commitCommitHere, transaction T2 is reading value written by transaction T1 and the commit of T2 occurs after the commit of ...
Read MoreWhat are the differences between HBase and Cassandra?
Let us understand the concepts of HBase and Cassandra before learning the differences between them.CassandraCassandra has a different infrastructure. Cassandra uses different DBMS along with their infrastructure. When Cassandra uses different DBMS then time complexity will increase.Cassandra supports ordered partitioning. This can lead to row size up to 10 megabytes.In Cassandra, we use seed nodes. These nodes perform inter-cluster communication. Here, we use internal communication. Casandra has lightweight transactions.Cassandra is based on the Jbury shell. But it has a specific Query language. That is CQL, it is modelled after SQL. It is better than HBase in Documentation. It uses the ...
Read MoreWhat is Hierarchical architecture in parallel databases?
In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, disks are used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. Centralized and client server database systems are not powerful enough to handle applications that need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models for parallel ...
Read MoreWhat is a parallel database and explain how it works?
A parallel database is one which involves multiple processors and working in parallel on the database used to provide the services.A parallel database system seeks to improve performance through parallelization of various operations like loading data, building index and evaluating queries parallel systems improve processing and I/O speeds by using multiple CPU’s and disks in parallel.Working of parallel databaseLet us discuss how parallel database works in step by step manner −Step 1 − Parallel processing divides a large task into many smaller tasks and executes the smaller tasks concurrently on several CPU’s and completes it more quickly.Step 2 − The ...
Read MoreWhat are the capabilities of DBMS and why relational DBMS is powerful?
Database management system (DBMS) is a software or tool which can be used for managing and maintaining the data within the database.Major Capabilities of DBMSThe major capabilities of DBMS are listed below −Data StorageData RetrievalData UpdateSecurityData IndependenceExplanationGenerally a person has to work with a huge amount of information every day. In order to interact with the large amount of data we need a system where we can store, manipulate, security, sharing the information all over the world. It is a core reason the industries are maintaining database management tools.Powerful Relational DBMSThe relational DBMS is more powerful because of the reasons ...
Read MoreExplain the classification of database security
The database security is broadly classified into physical and logical security. Database recovery is the way of restoring a database to a correct state in the event of a failure.Physical security − Physical security refers to the security of the hardware that is associated with the system and the protection of the site where the computer resides. The natural events like fire, floods, and earthquakes can be considered as some of the physical threats. It is advisable to have backup copies of databases in the face of massive disasters.Logical security − Logical security refers to the security measures present in ...
Read MoreWhat are the steps of SQL Query processing in DBMS?
Query Processing is a translation of high-level queries into low-level expression. It is a step wise process that can be used at the physical level of the file system, query optimization and actual execution of the query to get the result.It requires the basic concepts of relational algebra and file structure. It refers to the range of activities that are involved in extracting data from the database. It includes translation of queries in high-level database languages into expressions that can be implemented at the physical level of the file system.Given below is the diagram that shows the steps of the ...
Read MoreExplain parallel and distributed database management system
In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, the disk is used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. The centralized and client server database systems are not powerful enough to handle applications which need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models ...
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