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Data Storage Articles
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Exception Handling in Distributed System
Introduction In context of distributed systems, exception handling refers to process of detecting, diagnosing, and recovering from errors that occur in a distributed system. In such systems, errors can occur at any point in communication and coordination process, including network failures, hardware malfunctions, and software bugs. Thus, effective exception handling is crucial to ensure reliability and availability of a distributed system. In this article, we will explore various techniques and best practices for exception handling in distributed systems. Importance of Exception Handling in Distributed Systems In a distributed system, multiple processes run on different machines and communicate with each other ...
Read MoreEvolution of Distributed Computing Systems
Introduction Distributed computing systems refer to a network of interconnected devices that share resources and work together to achieve a common goal. evolution of distributed computing systems has been rapid, and it has transformed way we use technology in our daily lives. From simple file sharing systems to advanced cloud computing, distributed computing systems have come a long way. In this article, we will discuss evolution of distributed computing systems and explore some of examples. Early Days of Distributed Computing The early days of distributed computing can be traced back to 1960s, where researchers began experimenting with idea of sharing ...
Read MoreEvent Ordering in Distributed System
Introduction Distributed systems have become an integral part of our modern-day technological infrastructure. They have made it possible to deliver services at scale, provide better resilience, and enable better fault tolerance. However, designing distributed systems is a challenging task, and one of most significant challenges is maintaining ordering of events in system. This article will discuss event ordering in distributed systems and provide examples of different techniques used to achieve it. Event Ordering Event ordering is essential in distributed systems because it determines order in which events occur. In a distributed system, events can happen concurrently on different nodes, and ...
Read MoreHow to Update Two Tables in One Statement in SQL Server?
Introduction In SQL Server, you may sometimes need to update data in multiple tables at the same time. This can be done using a single UPDATE statement, which allows you to update multiple tables in a single query. To update two tables in one statement, you can use the UPDATE statement with a JOIN clause. The JOIN clause allows you to specify a relationship between the two tables that you want to update, based on a common column or set of columns. Definition The term "update two tables in one statement" refers to the process of using a single UPDATE ...
Read MoreConditionally Updating Columns
In conclusion, creating a Cassandra cluster entails selecting the seed nodes, setting the replication factor, configuring the IP addresses and ports for each cluster node, as well as additional configuration options like the cluster name. The main configuration file for Cassandra clusters is the cassandra.yaml file. Cassandra clusters may offer high availability and fault tolerance for massive volumes of data with the proper configuration. You may effectively configure a Cassandra cluster to suit your unique requirements by adhering to the syntax and examples shown in this article. Syntax UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition; ...
Read MoreCondition of schedules to View-equivalent
View-equivalence is a term used in database management systems to describe the circumstance in which two schedules, when applied to the same database, yield the same result set. This requirement is necessary to guarantee data correctness and consistency in database applications. There are requirements that schedules must meet in order to achieve view equality. These circumstances are − Conflict Serializability − The conflicting operations in a schedule must be performed in the same sequence for it to be conflict serializable. Operations that access the same data item and at least one of which affects the data are said to ...
Read MoreConcept of Time in database
In the form of a relation, a database is used to mimic the status of some part of the real world outside. Database systems, in general, store just one state, which is the present state of the actual world, and do not keep data regarding prior and past states, except sometimes as audit trails. If the real world's current state changes, the database is edited and updated, and knowledge about the previous state is lost. But, in the majority of real-world applications, it is important to store and retrieve information about previous states. A student database, for example, must have ...
Read MoreComputer-based control in Database
This article will provide a broad review of computer-based controls before moving into the computer-based controls in databases available in a multi-user database system. Let's discuss all of them one by one. A group of security procedures called computer-based controls are used in DBMSs to safeguard the database against illegal access, alteration, or destruction. These safeguards are intended to guarantee that the database can only be accessed by authorized users and that the data is safe from accidental or deliberate destruction. Physical controls and administrative processes are only a couple of the several remedies available to deal with threats to ...
Read MoreComplex Type Structures for Objects and Literals
Complex type structures for objects and literals are also crucial in the context of database management systems (DBMS). In this context, difficult types refer to data types that can store multiple values within a single column or attribute. This allows for more efficient and organized storage of complex data, such as arrays or nested objects, in a database. When it comes to databases, complex type structures for objects and literals can be incredibly useful for storing and retrieving data efficiently. In this article, we will explore how complex type structures can be implemented in databases, their advantages, and some of ...
Read MoreComponents and Analysis of Star Schema Design
Star schema design is a type of database schema used in data warehousing that is designed to make querying and analyzing large datasets more efficient. The schema consists of a central fact table that contains the data to be analyzed and one or more dimension tables that provide additional information about the data in the fact table. Components of Star Schema A star schema is made up of four major components. These are as follows − Fact Table Dimension Table Attributes Attribute Hierarchies Let us go over them one by one − Facts These are monetary ...
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