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What is difference between the data validation and data redundancy?
Wiki User
∙ 13y ago
one is a validation the other is redundancy clue is in the name
Wiki User
∙ 13y ago
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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 are 3 advantages of data validation?
test
What is the difference between controlled redundancy and uncontrolled redundancy?
Redundancy is controlled when the dbms ensures that multiple copies of the same data are consistent. If the dbms has no control over this, uncontrolled redundancy.
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.
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 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.
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.
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.
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 are three types of redundancy checks used in data communications?
coding redundancy interpixel redundancy psycovisual redundancy
Is the process of comparing data with a set of rules or values to find out if the data is correct?
Data validation.
