Normalization is the process of reorganizing data structure in an efficient way in designing relational database. It is important to perform the processes of normalization because it eliminates duplicate records, data redundancy and making data consistent across all tables. The advantages gained from using normalization is quite significant while the disadvantages are unavoidable for some cases.
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
CIS 515 discussion post responses.There are two discussions he.docxsleeperharwell
CIS 515 discussion post responses.
There are two discussions here that need to be responded to thoroughly. Responses must be on APA format 150+words 1-2 legitimate verifiable sources per response.
Respond to the colleagues posts regarding:
• Many legacy systems require normalization. Identify at least two factors that should be considered in order to produce an optimal normalized set of tables when performing normalization. Include in your discussion a detailed example on how each factor would eliminate data redundancy.
• Optimal database design recognizes proper organization of table structures and relationships. Suggest at least two methods that can be used to improve the design of a database system.
JM post states the following:
Factors to Consider for an Optimal Normalization
Normalization refers to the process of organizing data on a database to reduce redundancy when designing a database. One of the factors to consider during normalization is naming conventions. The names used should describe the type of information contained in the database for easy data identification. Abbreviations and obscure acronyms should be avoided for names because they can easily obfuscate the meaning and can as well be challenging to remember. The naming system used across the entire database should be consistent and memorable.
It should as well provide information on users, filenames, and other related objects. Another factor to consider is the nature of the database. Tables should incur divided to ensure that data are well isolated to allow additions, deletion, and modifications without interfering with the entire database. Each field should have different information, which should be independent of the information on other grounds. It will reduce redundancy by eliminating the possibility of data duplication (Dennis et al. 12).
Method of improving the design of the database system
A properly designed database system enhance easy access to recent and accurate information. The method process of strengthening the design of database design includes normalization and storing binary data externally. Standardization ensures that data engage appropriately organized within the database. Normalization can incur achieved by using primary keys to ensure that each raw within the database system is unique. Using external data storage is also another method of improving database system design. It enhances the performance of the data and ensures easy access to the data. Refining primary keys as required for data granularity is also another method of improving database system design. The entity of using the granularity of low keys, atomic value ensures that the database is more detailed and specific (Coronel, 2016).
Coronel, Carlos, and Steven Morris. Database systems: design, implementation, & management.
Cengage Learning, 2016.
Dennis, Alan, Barbara Haley Wixom, and Roberta M. Roth. Systems analysis and design. John
Wiley & sons, 2018
LP.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Normalization is the process of reorganizing data structure in an efficient way in designing relational database. It is important to perform the processes of normalization because it eliminates duplicate records, data redundancy and making data consistent across all tables. The advantages gained from using normalization is quite significant while the disadvantages are unavoidable for some cases.
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
CIS 515 discussion post responses.There are two discussions he.docxsleeperharwell
CIS 515 discussion post responses.
There are two discussions here that need to be responded to thoroughly. Responses must be on APA format 150+words 1-2 legitimate verifiable sources per response.
Respond to the colleagues posts regarding:
• Many legacy systems require normalization. Identify at least two factors that should be considered in order to produce an optimal normalized set of tables when performing normalization. Include in your discussion a detailed example on how each factor would eliminate data redundancy.
• Optimal database design recognizes proper organization of table structures and relationships. Suggest at least two methods that can be used to improve the design of a database system.
JM post states the following:
Factors to Consider for an Optimal Normalization
Normalization refers to the process of organizing data on a database to reduce redundancy when designing a database. One of the factors to consider during normalization is naming conventions. The names used should describe the type of information contained in the database for easy data identification. Abbreviations and obscure acronyms should be avoided for names because they can easily obfuscate the meaning and can as well be challenging to remember. The naming system used across the entire database should be consistent and memorable.
It should as well provide information on users, filenames, and other related objects. Another factor to consider is the nature of the database. Tables should incur divided to ensure that data are well isolated to allow additions, deletion, and modifications without interfering with the entire database. Each field should have different information, which should be independent of the information on other grounds. It will reduce redundancy by eliminating the possibility of data duplication (Dennis et al. 12).
Method of improving the design of the database system
A properly designed database system enhance easy access to recent and accurate information. The method process of strengthening the design of database design includes normalization and storing binary data externally. Standardization ensures that data engage appropriately organized within the database. Normalization can incur achieved by using primary keys to ensure that each raw within the database system is unique. Using external data storage is also another method of improving database system design. It enhances the performance of the data and ensures easy access to the data. Refining primary keys as required for data granularity is also another method of improving database system design. The entity of using the granularity of low keys, atomic value ensures that the database is more detailed and specific (Coronel, 2016).
Coronel, Carlos, and Steven Morris. Database systems: design, implementation, & management.
Cengage Learning, 2016.
Dennis, Alan, Barbara Haley Wixom, and Roberta M. Roth. Systems analysis and design. John
Wiley & sons, 2018
LP.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
First Normal Form (1NF) Second Normal Form (2NF) Third Normal Form (3NF) Boyce-Codd Normal Form (BCNF) Boyce-Codd Normal Form (BCNF) Fourth Normal Form (4NF) Fifth Normal Form (5NF)
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2. NORMALIZATION is a database design
technique that organizes tables in a manner
that reduces redundancy and dependency of
data.
Normalization divides larger tables into Normalization divides larger tables into
smaller tables and links them using
relationships.
The purpose of Normalization is to eliminate
redundant (repeated data) data and ensure
data is stored logically.
3. Normalization ensures that the database is
structured i the best possible way.
Reduce redundancy of data.
To ensure data consistency where duplication
is necessary the data is the same.
Remove insert, update and delete anomalies
of data.
Storing the related attributes in the same
table.
4. Update anomalies − If data items are scattered and
are not linked to each other properly, then it could
lead to strange situations.
Deletion anomalies − We tried to delete a record,
but parts of it was left undeleted because ofbut parts of it was left undeleted because of
unawareness, the data is also saved somewhere else.
Insert anomalies − We tried to insert data in a record
that does not exist at all.
Normalization is a method to remove all these
anomalies and bring the database to a consistent
state.
5. In normalization before decomposing a big
relation into several smaller once, one
should focused on two points:-
Lossless join decomposition-lossless Lossless join decomposition-lossless
decomposition ensures that no information is
lost from the original relation during
decomposition. When the sub relations are
joined back, the same relation is obtained
that was decomposed.Every decomposition
must always be lossless.
6. Dependency Preservation- Dependency
preservation ensures that none of the
functional dependencies that holds on the
original relation are lost. The sub relations
still hold or satisfy the functional
dependencies of the original relation.