Explore topic-wise fullforms in Database Management

INFO: Full form for D3 is Downloadable Dynamometer Database in Database Management category
D3 also has other full forms in other categories mentioned below.

INFO: Full form for GDK is Goblin Database Kernel in Database Management category
GDK also has other full forms in other categories mentioned below.

INFO: Full form for IDBC is Internet Database Connectivity in Database Management category
IDBC also has other full forms in other categories mentioned below.

INFO: Full form for HTO is Hierarchical Tagged Object in Database Management category
HTO also has other full forms in other categories mentioned below.

INFO: Full form for IDCU is Interactive Data Collection Unit in Database Management category
IDCU also has other full forms in other categories mentioned below.

INFO: Full form for ILF is Internal Logical File in Database Management category
ILF also has other full forms in other categories mentioned below.

INFO: Full form for MDE is Manual Data Entry in Database Management category
MDE also has other full forms in other categories mentioned below.

INFO: Full form for QM is Query Management in Database Management category
QM also has other full forms in other categories mentioned below.

INFO: Full form for LDR is Local Data Record in Database Management category
LDR also has other full forms in other categories mentioned below.

INFO: Full form for SIRI is Software Interaction Requesting Information in Database Management category
SIRI also has other full forms in other categories mentioned below.

The Standard Libraries is a set of libraries included into the Common Language Infrastructure (CLI) in order to encapsulate many common functions, such as file reading and writing, XML document manipulation, exception handling, application globalization, network communication, threading and reflection, which makes the programmer's job easier. It is much larger in scope than standard libraries for most other languages, including C++, and is comparable in scope and coverage to the standard libraries of Java.

The list of standard libraries is Base Class Library (BCL), Runtime Infrastructure Library (both part of the kernel profile) Network Library, Reflexion Library, XML Library (which with the two first listed library are part of the compact profile and the Extended Array Library, Parallel Library, Floating Point Library, Vararg Library.

The Framework Class Library (FCL) is the origin of the Standard Libraries as the .NET Framework, which includes the FCL, is the first implementation of the CLI.

INFO: Full form for CVT is Code Value Table in Database Management category
CVT also has other full forms in other categories mentioned below.

An abstracting service is a service that provides abstracts of publications, often on a subject or group of related subjects, usually on a subscription basis. An indexing service is a service that assigns descriptors and other kinds of access points to documents. The word indexing service is today mostly used for computer programs, but may also cover services providing back-of-the-book indexes, journal indexes, and related kinds of indexes. An indexing and abstracting service is a service that provides shortening or summarizing of documents and assigning of descriptors for referencing documents.

The product is often an abstracts journal or a bibliographic index, which may be a subject bibliography or a bibliographic database

INFO: Full form for IDS is Internals and Data Structures in Database Management category
IDS also has other full forms in other categories mentioned below.

INFO: Full form for DL is Data Length in Database Management category
DL also has other full forms in other categories mentioned below.

INFO: Full form for DL is Dictionary List in Database Management category
DL also has other full forms in other categories mentioned below.

INFO: Full form for OPC is Ole for Process Control in Database Management category
OPC also has other full forms in other categories mentioned below.

INFO: Full form for ACF is Advanced Computer Feasability in Database Management category
ACF also has other full forms in other categories mentioned below.

A blockchain is a growing list of records, called blocks, that are linked together using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree). The timestamp proves that the transaction data existed when the block was published in order to get into its hash. As blocks each contain information about the block previous to it, they form a chain, with each additional block reinforcing the ones before it. Therefore, blockchains are resistant to modification of their data because once recorded, the data in any given block cannot be altered retroactively without altering all subsequent blocks.

Blockchains are typically managed by a peer-to-peer network for use as a publicly distributed ledger, where nodes collectively adhere to a protocol to communicate and validate new blocks. Although blockchain records are not unalterable as forks are possible, blockchains may be considered secure by design and exemplify a distributed computing system with high Byzantine fault tolerance.

The blockchain was popularized by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve as the public transaction ledger of the cryptocurrency bitcoin, based on work by Stuart Haber, W. Scott Stornetta, and Dave Bayer. The identity of Satoshi Nakamoto remains unknown to date. The invention of the blockchain for bitcoin made it the first digital currency to solve the double-spending problem without the need of a trusted authority or central server. The bitcoin design has inspired other applications and blockchains that are readable by the public and are widely used by cryptocurrencies. The blockchain is considered a type of payment rail. Private blockchains have been proposed for business use but Computerworld called the marketing of such privatized blockchains without a proper security model "snake oil". However, others have argued that permissioned blockchains, if carefully designed, may be more decentralized and therefore more secure in practice than permissionless ones.