Wednesday, August 13, 2014

Database Centric Architecture


Database-centric Architecture or data-centric architecture has several distinct meanings, generally relating to software architectures in which databases play a crucial role. Often this description is meant to contrast the design to an alternative approach.Continue Reading...
From Wikipedia, the free encyclopedia

Sunday, August 10, 2014

Spatial Database


A spatial database is a database that is optimized to store and query data that represents objects defined in a geometric space. Most spatial databases allow representing simple geometric objects such as points, lines and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverages, linear networks, and TINs. While typical databases are designed to manage various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types efficiently. These are typically called geometry or feature. The Open Geospatial Consortium created the Simple Features specification and sets standards for adding spatial functionality to database systems.Continue Reading...
From Wikipedia, the free encyclopedia


Tuesday, August 5, 2014

Active Database Management System (ADBMS)


An active database management system (ADBMS) is an event-driven system in which schema or data changes generate events monitored by active rules. Active database management systems are invoked by synchronous events generated by user or application programs as well as external asynchronous data change events such as a change in sensor value or time.

Sunday, August 3, 2014

Data Mining


Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD),an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.Continue Reading..
From Wikipedia, the free encyclopedia

Monday, July 28, 2014

NoSQL(Not Only SQL)


A NoSQL or Not Only SQL database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Motivations for this approach include simplicity of design, horizontal scaling and finer control over availability. The data structure (e.g. key-value, graph, or document) differs from the RDBMS, and therefore some operations are faster in NoSQL and some in RDBMS. There are differences though, and the particular suitability of a given NoSQL DB depends on the problem it must solve (e.g., does the solution use graph algorithms?).Continue Reading...
From Wikipedia, the free encyclopedia


NoSQL(Not Only SQL)
Professional NoSQL By Shashank Tiwari
Getting Started with Nosql By Gaurav Vaish
Making Sense of NoSQL: A Guide for Managers and the Rest of UsNoSQL Distilled: 
A Brief Guide to the Emerging World of Polyglot Persistence By Pramod J. Sadalage, Martin Fowler