What are the differences between Data redundancy and data integrety in Database?
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Data integrity means the security and the accuracy of the data.  \n\nData redundancy means data that is useless because it is repeated unnecessarily.
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This is half-true.  A record in a database is a collection of feilds, but not exactly aranged in a predefined form.  They are always arranged in a row.  The complexity of databases comes from multiple records of different types, arranged in multiple tables, with different relationships between tables.
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raid 5 , anything that has redundancy. not raid 0 stripped. raid 1 has 100% redundancy.
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Loosely coupled means that one module or "section" of the design does not care nor highly dependent on another module of the system. As you can see, tightly coupled is the opposite.\n\nWhat they mean by loosely coupled with the database is that you want to create a design that is database independent for the most part. Your system does not care what type of database it is interfacing with because it does not know the details (it is black box).\n\nYou often want to achieve loosely coupled because for instance, lets say you designed an ordering system for a super market. All the supermarket data is stored in a database after each transaction and for looking up product prices. You want your system to not care if the database is MySQL, SQL, or Oracle. It should only know that if I give it a item that it knows how to insert that item and mark it as purchased.\n\nThis allows your design to be flexible. Lets say a year down the road the super market needs or wants to change from Oracle to SQL Server. Your design needs very little modifications. All that would need to be redesigned is the module that interacts directly with the database. This cuts your development time down, reduces the introduction of bugs, and can even make migration easier.\n\nIf it was tightly coupled, a lot of your design would know too much details about the database (like connection strings all over the place) and the whole system would have to go through a code review and extensive modifications might have to be made.\n\nIn short, because loosely coupled components know very little about the implementation details of other components, switching out a module that is database dependent is easier and will not introduce problems to your design.\n\nSide note: I always create a class to handle database interaction. That way I can create a class for each of the database types and switch them out of projects whenever I need to. Put the classes in a database library would be a good idea.
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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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- sql 2005 supports embedded .Net code\n- sql 2005 is more performant\n- sql 2005 is more expensive\n- 2005 has significantly improved mirroring & failover\n\nCheck out this link \nhttp://www.microsoft.com/sql/prodinfo/overview/whats-new-in-sqlserver2005.mspx
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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.
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Tables/Objects/Classes just represent real world scenerios. We dont create these things depending on our design. Its other way around.\n\nSo depending on the real world scenerio you will have mostly one to many. This is from the third Normal form. we generally remove the most repeated columns that have a primary key for themselves. And minimize the storage.\n\nIf you have one to one tables then its same as keeping all of records together in one table. If you have many to many then you can always break this relation ship into many to one and one to many ( 2 relationships ), by adding a new table in between these 2 existing tabes, just by applying cartesian product rule. This middle extra table may just contain only primary keys of 2 tables.\n\nEnjoy.
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Does this help:\n\nhttp://vyaskn.tripod.com/oracle_sql_server_differences_equivalents.htm\n\nhttp://www.quest-pipelines.com/newsletter-v7/0406_C.htm
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redundancy is the word i think you are looking for.\n\n"it is redundant to use both words"
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Data Integrity refers to the validity of data. \n\nData integrity can be compromised in a number of ways: \nHuman errors when data is entered \nErrors that occur when data is transmitted from one computer to another \nSoftware bugs or viruses \nHardware malfunctions, such as disk crashes \nNatural disasters, such as fires and floods \n\nI usually focus on Data Integrity checks when porting an application from one Database to another. For example Oracle To MySQL.
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Relational. Allows one-to-many and many-to-one. Heirarchial is all about one-to-many. I don't know anything about network db except the applications that make a web page on the fly.\n\nThen, for queries, it all boils down to what query language and there isn't any of them perfect, just some are better than others.
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Sometimes data is corrupted when it's imported from one place to another.
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What are you comparing? Which column has more data?
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Data flow diagrams show you how a piece of data is moved from one process to the other and the Entity relationship diagrams show you how the tables in the database are related.\n\nThe only relationship in bet. them is when you draw the DFD to represent how the data is communicated in the tables then again ERD would suffice.\n\nThey describe two different processes.
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in file system we can store data in diffrent formats.so it ts diffcult to fetch that data.\nin database system also we use physical files to store data but in the specific format.\nso that it will be convinent for us to fetch the data.\nit is alwas preferable to use database system than file system while designing a software.\nu can refer to database managment system book for more details.
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both of the databases have the ability to return consistent (correct) \nresults.  Only oracle can do so in a mixed workload environment (mixed \nupdates and reads) in a highly concurrent fashion.  In Oracle we employ \nmulti-versioning and read consistency.  The others use shared read locks (which \nwill lead to deadlocks and blocking).  We never block on a read -- they \nfrequently block on a read.  So, another feature with a check mark that is \nvirtually meaningless