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What is batch validation in clinical data management?
batch validation is a programmed validation to achieve valid data. its done after data entry and before data cleaning. batch validation can be over night process or day process.
What is the difference between OLAP and data mining?
difference between Data Mining and OLAP
What are the disadvantages of data redundancy?
with data redundancy there willbe more wastage of memory space as same type of data willbe saved many times when to want to see the data all duplicate results will come
What does Data Redundancy mean in database design?
In database there are number of issues to be handled ,like redundant data, inconsistent data, unorganized data etc. Redundancy of data is the repetitive data that is taking the storage unnecessarily . So the redundant data must be removed or at least reduced.
What is the difference between data redundancy and data inconsistency?
Redundancy is data that is not needed or no longer needed. Inconsistency is where you have different data for what should be the same thing, as a result of one piece of data having a few copies and not all of them being updated. So if someone's address is on a system several times, and then their address changes, but it is only updated in some of those places, then the person will have both their old and new address on the system. The data is not consistent then. To avoid this data should be only stored once and everyone that needs it looks at the one set, rather than each having their own copy.
What is the difference between data varification and data validation?
Data validation makes sure that the data is clean, correct and meaningful, while data verification ensures that all copies of the data are as good as the original.
How is data redundancy reduced?
Data redundancy can be reduced by normalizing the database to eliminate duplicate data, creating relationships between tables, and using foreign keys to link related information. Using data validation rules and constraints can also help prevent redundant data from being entered into the database. Implementing a master data management strategy can centralize and standardize data, reducing redundancy across different systems.
What is the difference between normalisation and denormalisation?
Hi, Normalisation is used to reduce the redundancy of database. So, we divide the the data into smaller tables. These tables are related to each other through a relationship. Denormalisation is the reverse process of normalisation. In this we add redundancy of data and grouping of data to optimize the performance.
How can a primary key be useful in controlling data redundancy?
controlling data redundancy
What is the difference between redundancy and duplication?
Redundancy refers to the inclusion of extra components to ensure system reliability, while duplication involves creating an exact copy of something. Redundancy can help prevent system failure by providing backup options, while duplication involves replicating data or information for various purposes.
What is the difference between file base system and data base system?
DBS has more security and data integrity.It reduce data redundancy and updating errors which can occur in FBS.Contains of concurrent data access.But also it's expensive to use and they are also complex.Damage to DB affects virtually all application programs.
What is the difference between controlled redundancy and uncontrolled redundancy?
Controlled redundancy refers to intentionally duplicating certain components in a system to ensure reliability and fault tolerance, whereas uncontrolled redundancy occurs unintentionally due to inefficient processes or lack of coordination. Controlled redundancy is planned and managed to enhance system performance, while uncontrolled redundancy can lead to inefficiencies and waste of resources.
DO you have redundancy of records in distributed DBMS?
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
What are a couple of problems whit a traditional file environment?
Data redundancy Lack of data redundancy Data inconsistency Data security
What is data redundancy and problems associated with it?
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
What are three types of redundancy checks used in data communications?
coding redundancy interpixel redundancy psycovisual redundancy
Why do we need data validation?
In order to conduct a research data validation is very necessary. Without the authentic data validation research is incomplete and worthless.
