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Database scalability is the ability of a database to handle changing demands by adding/removing resources. Databases use a host of techniques to cope. [1] According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant."
In software development and product management, a user story is an informal, natural language description of features of a software system. They are written from the perspective of an end user or user of a system, and may be recorded on index cards, Post-it notes, or digitally in specific management software. [1]
Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...
For the Online Shopping System, the total estimated size to develop the software is 125.06 Use Case Points. Now that the size of the project is known, the total effort for the project can be estimated. For the Online Shopping System example, 28 man hours per use case point will be used. Estimated Effort = UCP x Hours/UCP
The INVEST mnemonic for Agile software development projects was created by Bill Wake [1] as a reminder of the characteristics of a good quality Product Backlog Item (commonly written in user story format, but not required to be) or PBI for short.
The name is a three-letter acronym for DataBase Manager, and can also refer to the family of database engines with APIs and features derived from the original dbm. The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key.
The Pick Operating System is an integrated computing platform with a database, query and procedural operation languages, peripheral and multi-user management, and BASIC programming capabilities. Its database utilizes a hash-file system, enabling efficient data storage and retrieval by organizing data into dynamic associative arrays managed by ...
MySQL Cluster, also known as MySQL Ndb Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system.It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [3]