A snapshot is a copy of the entire state of a program that is written to storage. The "easier" features we mentioned above are as follows: The Web Storage API provides a very simple syntax for storing and retrieving smaller, data items consisting of a name and a corresponding value. This is useful when you just need to store some simple data, like the user's name, whether they are logged in, what color to use for the background of the screen, etc. Snapshots are the simplest persistence technique. It is also sometimes referred to as non-volatile storage . Persistent data structures can also be created using in-place updating of data and these may, in general, use less time or storage space than their purely functional counterparts. Temporary data, opposite of persistent data. The opposite of a persistent data structure is an ephemeral data structure: changes are destructive, so that only one version exists at any time. It is a regular Java object (also known as a POJO, or plain, old Java object) with properties that map to columns in the database table. Both persistent and ephemeral data structures can be built in both functional and imperative languages. The meaning given in this article as opposite of 'dynamic' is what is usually named static or constant. Once written to a disk file the data becomes persistent and it will still be there tomorrow when we run the next program. { google What is a persistent data structure? If the cluster must increase its compute capacity, a new node can be added and the data can be “remastered”, a process in which the data node ownership is modified without moving any data (since all nodes can see all of the data). Persistent storage is any data storage device that retains data after power to that device is shut off. As such it is opposite of transient or volatile. Persistent data for endings clearing when the game is closed #1 Post by Nova Alamak » Sun Jul 17, 2016 10:58 pm My testers have had this problem and I was able to replicate it this morning. The opposite of this is transactional data. a) But what are advantages/disadvantages of also making Repositories Persistence Ignorant ( ie unaware what persistence medium is used for storing data ). Persistent data structure is a data structure that always preserves the previous version of itself when it is modi ed Remaining in existence past the lifetime of the program that creates it. Notebook hibernation, for example, uses a stored snapshot of the entire machine's RAM.It is an example of orthogonal persistence because it does not require any specific actions by the programs running on the machine. Usually, Repositories should know about the implementation details of which database we decided to use. This multiplicity is the opposite of a one-to-many relationship. While persistence can be achieved by simple copying, this is inefficient in time and space, because most operations make only small changes to a data structure. ... (ORM) of Java objects to persistent data (stored in a database). (computing) About some data or data structures: existing after the execution of the program. Persistent Data denotes information that is infrequently accessed and not likely to be modified. This way transient value becomes persistent . What is "serverless" computing? The opposite of this is dynamic data (also known as transactional data) where information is asynchronously changed as further updates to the information become available. A Java object that maps to a database table is called an entity class. Only advantage I can think of is that now same Repository implementation can be used regardless to which medium data is persisted Persistent data denotes information that is infrequently accessed and not likely to be modi ed. 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