what is the difference between object base logical model and relational database management system?
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The first one is used for DataMining the second for Simple/Complex/Queries...
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Some *very* general steps for a simple database:\n\nDecide the necessary fields and their parameters\nDetermine a primary key field\nDesign appropriate queries\n\nNow, there are certain considerations to make when determining data types - for instance, if you have a numerical field, do you want to store the values as integers or as "double"? One may use less space than the other, where the other will allow for the precision and range you may need.
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Relational algebra is the mathematical treatment of set theory.\nSQL is an implementation of a subset of set theory in order to work with relational databases.\nAn understanding of relational algebra is not required ofr SQL and vice versa.
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First of all what specifically do you want to know?\n\nRDBMS or Relational Database management systems work by using relations to link tables to eachother. you can have multiple table that hold various kinds of data and have it all be mapped to one or many keys. You essentially are able to create one to one or one to many relations between your tables using RDBMS
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*  Objects...\n          o Autonomous entities\n          o No direct access to their components, or run time type2\n          o Interact purely by messages, with no assumption of implementation \n\n    * Object Organization...\n          o Inheritance mechanism to construct an object classification hierarchy\n          o Not just for code sharing\n          o Must have abstract nodes in hierarchy for more realistic modeling\n          o Provide potential for individuality in objects\n          o Dynamicly determine (via run time type) correct response to messages \n\n    * Programs as Models...\n          o Programs model the development of some planned system\n          o Changing state of system reflected by the changing state of the objects\n          o Objects can be thought of as acting concurrently\n          o Support for ``non OO'' programming techniques in situations where they make sense
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**********************************************\nIn short MS SQL is a language used to manipulate databases via codes SQL meaning Structured (or Simple) Query Language\n\nMs Access is a WYSIWYG (what you see is what you get) Program to create databases\n**********************************************\n\nNOT SO SIMPLE...\n\nThe fundamental difference is that MSSQL is client/server RDBMS and Access is file-based. MSSQL has a server side component (databse engine) that always need to be running before you can connect to any databses and you need to get a client component (GUI e.g. SQL Enterprise Manager, query analyser, etc) in order to connect to the server component. Access is actually a Jet engine database and you use MS Access as the GUI. MS Access offers you excellent GUI tools to manipulate the data in the .mdb Jet database file. However, you can connect to access from other GUIs e.g. VB6 IDE. You can research on file based vs server based databases.\n\nBoth are SQL databases, which is by the way a language itself. The SQL standard describes a common language for manipulating and defining data in compliant database management systems. Thats how you can write a VB6 app for example which uses an access backend, and not need to have MS Access installed in order to access the data in the .mdb file.\n\njust google something like mssql vs access and sift through the results.\n\nhttp://www.cypressinland.com/access_vs_sql.htm\n\nThis is a good comparison (MSDE is scaled down SQL Server):\nhttp://msdn2.microsoft.com/en-us/library/aa140017(office.10).aspx
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Yes, you can and it's not even that hard!\n\nOracle is a highly scalable and secure relational database system used to maintain business information.
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Open Database Connectivity (ODBC) provides a standard software API method for using database management systems (DBMS). The designers of ODBC aimed to make it independent of programming language, database system and operating system.\n\nFor More infromation \n  http://en.wikipedia.org/wiki/ODBC
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Standard Query Language is a datbase. Database is used for storing data. This data is inturn accessed by a front-end tool.
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A distributed database system allows applications to access data from local and remote databases. In a homogenous distributed system, each database is an Oracle database. In a heterogeneous distributed system, at least one of the databases is a non-Oracle database. Distributed databases use a client/server architecture to process information requests. \n\nAn Oracle distributed database system can incorporate Oracle databases of different versions. All supported releases of Oracle can participate in a distributed database system. Nevertheless, the applications that work with the distributed database must understand the functionality that is available at each node in the system--for example, a distributed database application cannot expect an Oracle7 database to understand the object SQL extensions that are only available with Oracle8i. \n\nDistributed Databases Vs. Distributed Processing\nThe terms distributed database and distributed processing are closely related, yet have distinct meanings. \n\nDistributed database \n A set of databases in a distributed system that can appear to applications as a single data source.  \n \nDistributed processing \n The operations that occurs when an application distributes its tasks among different computers in a network. For example, a database application typically distributes front-end presentation tasks to client computers and allows a back-end database server to manage shared access to a database. Consequently, a distributed database application processing system is more commonly referred to as a client/server database application system. \n \n \n\n\nOracle distributed database systems employ a distributed processing architecture. For example, an Oracle database server acts as a client when it requests data that another Oracle database server manages. \n\nDistributed Databases Vs. Replicated Databases\nThe terms distributed database system and database replication are related, yet distinct. In a pure (that is, non-replicated) distributed database, the system manages a single copy of all data and supporting database objects. Typically, distributed database applications use distributed transactions to access both local and remote data and modify the global database in real-time.
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Companies use Oracle more than Microsoft, although it'd be good to get some experience with SQL.  I've used both, and never seen any real huge difference between the two.  The coomands are generally the same, the logic is generally the same.
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Normalization\n\nNormalization is a design technique that is widely used as a guide in designing relational databases. Normalization is essentially a two step process that puts data into tabular form by removing repeating groups and then removes duplicated data from the relational tables.\n\nNormalization theory is based on the concepts of normal forms. A relational table is said to be a particular normal form if it satisfied a certain set of constraints. There are currently five normal forms that have been defined. In this section, we will cover the first three normal forms that were defined by E. F. Codd. \n\nBasic Concepts\n\nThe goal of normalization is to create a set of relational tables that are free of redundant data and that can be consistently and correctly modified. This means that all tables in a relational database should be in the third normal form (3NF). A relational table is in 3NF if and only if all non-key columns are (a) mutually independent and (b) fully dependent upon the primary key. Mutual independence means that no non-key column is dependent upon any combination of the other columns. The first two normal forms are intermediate steps to achieve the goal of having all tables in 3NF. In order to better understand the 2NF and higher forms, it is necessary to understand the concepts of functional dependencies and lossless decomposition.
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Data Base Management System\nthe system which add,delete and manipulate recordes,fields and tables in a database
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SQL stands for Structured Query Language.... it is the language used to create, modify and report relational databases. It is not specific to an implementation of the language.... MySQL is a relational database manager that uses SQL to manage and use the databases. Just as Microsoft SQL Server does the same on a Windows NT Server. However, MySQL lacks the GUI tools that shield you from the complexities of having to type out all the SQL commands.
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My guess is vb.net.\nSupports .net framework. It is an evolved version of vb 6.0 (?). If you found that one interesting then you'll probably find this one more interesting too because it supports oop!\n\nJ2ee is also good. Once you learn this language you can create application that are platform indepedent.\n\nBut I guess the rational way to make a choice is to think where you want to end up working. For e.g. if you are looking to work in bank-related firms, where storage and management of large databases are a must, then oracle is good option.
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the database + the management softwares
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For what you are doing, there is no practical difference.\n\nThere are differences in terms of complex database activities, such as using triggers; changing server variables on the database server; error handling; the nature of the way data is returned, and other very complex, vary narrow semantics.