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Data Storage Articles
Page 5 of 50
Components of Storage Area Network (SAN)
SAN stands for "Storage Area Network" in its complete form. Block-level data storage is offered via a Storage Area Network (SAN), a dedicated, autonomous, and ultra-speed network that gives different servers access to a common pool of storage devices. Data transmission between the server and storage device as well as data transfer between storage systems are the two major goals of storage area networks. Storage area networks are mostly used to access storage devices from servers, such as tape libraries and disk-based devices. Servers, network infrastructure, and storage make up the three main parts of a storage area network. Nevertheless, ...
Read MoreHow to Convert Epoch Time to Date in SQL?
Introduction The epoch is the date and time relative to which a computer's clock and timestamp values are determined. Epoch time is commonly used in computer systems to represent a point in time. It is typically represented as a single integer value, which represents the number of seconds that have elapsed since the epoch. In SQL, you can convert an epoch time value to a date by using the to_timestamp() function. This function converts an epoch time value (which is typically stored as a BIGINT or INT data type) to a timestamp with time zone value. The resulting timestamp value ...
Read MoreData Marts(storage component of HDFS)
Data mart is a storage component and only cares about some specific functional area of an organisation which are then taken care by a single department like marketing, sales, finance etc. Data Mart and Data Warehouse are both storage components of HDFS. Data Mart contains a subset of the data stored in the data warehouse. Frequently requested data can easily be accessed through data mart. Simple to Implement and cost is lower as compared to data warehouse. It is more open to change and its smaller size makes it quicker to build if any change in model occurs. ...
Read MoreDifference Between vCenter and vSphere
VMware's vSphere and vCenter are both virtualization technology providers. While vSphere is the name of VMware's virtualization platform, vCenter is a management application used to manage vSphere environments. vCenter is a centralized management tool for vSphere environments. vSphere is an enterprise-class virtualization platform that offers services such as virtual machine management, resource allocation, and load balancing. Read this article to find out more about vCenter and vSphere and how they are different from each other. What is vCenter? vCenter is a centralised management tool for managing virtual infrastructure, including virtual machines, virtual networks, and storage resources. It allows administrators to manage multiple ...
Read MoreDifference Between JPEG and RAW
JPEG and RAW are two popular digital photographic file formats. They differ in various ways, including image quality, file size, and post-processing flexibility. The JPEG file format is widely used for storing and exchanging digital photographs. RAW is a file type used in digital photography to store raw, unprocessed data from the camera's image sensor. Read this article to find out more about JPEG and RAW and how they are different from each other. What is JPEG? The JPEG (Joint Photographic Experts Group) file format is widely used for storing and exchanging digital photographs. It is a lossy compression ...
Read MoreDifference Between Format and Quick Format
There are two generally used methods for formatting storage devices such as hard drives, solid-state drives (SSDs), or USB drives: format and quick format. While both operations prepare the storage device for data storage and retrieval, their approaches and the time required to perform the operation differ. Formatting a storage device means creating a new file system on the device, which effectively erases all current data and starts over. A quick format, when compared with a regular format, skips the scanning and error-checking processes. Read this article to find out more about Format and Quick Format and how they are ...
Read MoreDCL Full Form
Clients can store, direct, and recover information from data sets utilizing programming known as a data set administration framework (DBMS). DBMS languages and interfaces, an essential component of a DBMS, enable user interaction with the database system. Data Control Language is referred to as DCL in SQL. It is a part of the SQL (Structured Query Language) subset that deals with rights and authorization for database objects. To give or revoke rights, manage user access, and regulate the security features of a database system, DCL statements are utilized. DCL Commands There are several DCL commands, such as − ...
Read MoreDBMS Architecture 1-level, 2-Level, 3-Level
Database management systems (DBMS) are crucial tools for effectively managing and arranging enormous volumes of data. A DBMS's general structure and the way data is arranged and managed inside the system are referred to as its architecture. The 1-level, 2-level, and 3-level architectures are only a few of the several architectural concepts that have developed over time. We will examine the features, benefits, and use cases of each of these architectures in detail in this post. 1-Level Architecture The 1-level architecture, commonly referred to as monolithic or centralized architecture, is the most straightforward type of DBMS design. Data storage, query ...
Read MoreDate\'s Twelve Rules for Distributed Database Systems
It is critical to create standards and norms in the field of distributed database systems, where data is stored and handled over several interconnected nodes, in order to guarantee dependability, consistency, and efficiency. The "Date's Twelve Rules for Distributed Database Systems" is a series of guidelines developed in 1985 by prominent computer scientist C.J. Date to help with the design and implementation of distributed databases. These guidelines offer a framework for assessing distributed database systems' efficacy. We will examine each of Date's Twelve Rules in detail and consider their relevance to distributed data management in this post. Distribution Independence ...
Read MoreDatabase, Table, and Column Naming Conventions
It is essential to name databases, tables, and columns appropriately when developing a database for readability, maintainability, and efficient communication between developers and users. Consistent naming standards facilitate cooperation and increase comprehension of the database structure. In order to maintain clarity and consistency, we will go over the recommended practices for naming databases, tables, and columns in this post. Database naming conventions − The most advanced container for arranging related data is a database. Think about the following recommended practices when naming databases − Use names that are meaningful and descriptive − Pick a name that accurately describes ...
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