The issues and challenges in data warehouse and data mining implementation. by A'IN NUR FAZIRAH https://padlet.com/ainnana50/kk98d89ezbs9738w en-us 2022-12-02 13:34:18 UTC 2023-02-06 12:19:06 UTC hello@padlet.com What is Data Mining and Data Warehouse ainnana50 https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2468536220 Data Mining - Data mining is the process of discovering patterns and knowledge from large amounts of data. It involves the use of algorithms and statistical models to analyze and understand complex data. Data mining can be applied to a wide range of fields, including business, healthcare, science, and engineering.

Data Warehouse - A data warehouse is a central repository for storing and managing large volumes of data from various sources. It aims to provide quick and easy access to data for analysis and reporting. It is optimized for querying and analysis rather than for transaction processing, and is often used to support business intelligence activities.]]> 2023-02-04 16:39:54 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2468536220 Issues and challenges data warehouse in data quality. (Nany) https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469615099 - Multiple sources of data may have duplicates, discrepancies, and missing values that need to be found and fixed. It can be challenging and time-consuming to maintain high standards of data quality; this calls for efficient data cleansing, validation, and standardisation processes. 
- The correctness of the data kept in the data warehouse and the reliability of the insights and analyses drawn from it can both be significantly impacted by problems with data quality. 
- Businesses need to spend money on efficient data quality management techniques and equipment to make sure their data warehouse is filled with reliable, high-quality information.]]> 2023-02-06 07:07:55 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469615099 Issues and challenges data warehouse in data integration. (Nany) https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469621686 - The process of bringing together large amounts of diverse data, transforming it into a consistent format, and ensuring its quality, security, and performance can be complex and time-consuming. 
- The technical aspects of data integration, such as data transformation and standardization, also require specialized skills and knowledge. 
- Effective data integration requires a well-designed infrastructure, sound data management strategies, and a commitment to data quality.]]> 2023-02-06 07:14:12 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469621686 Issues and challenges Data Mining Implementation in Scalability (Syam) NaruMifu https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469822755 - As the volume of data grows, it becomes necessary to add more storage capacity, which can impact the overall performance of the system. As the data grows and the number of users increases, the data warehouse architecture and infrastructure need to be able to keep up with the growth.
- Another reason is the performance would slow down as it needs to be consistent to remain operating.  This requires scaling up the data warehouse to ensure that it can handle the load of the data.
- As the volume data increase, It needs a lot of queries of the user needs to run against it become more complex which but a lot of reliance on the system. This needs scalability as it is very essential to handle the complex query.

]]> 2023-02-06 10:15:53 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469822755 Issue and Challenge Data Mining Implementation in Data Interpretation (Syam) NaruMifu https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469845814 -  Poor quality of data can lead to incorrect results as that would lead wrong information and decisions.  Interpreting the results of data mining models can be difficult, and requires domain expertise and statistical knowledge.
- As data mining implementation requires data to be cleaned and prepared for analysis. This process is time consuming and requires a significant amount of effort to ensure accuracy and completeness. 
- Time and Cost which required a large amount of time and resources to ensure of its accuracy and completeness of data. Which can lead to increased costs associated with the implementation. ]]> 2023-02-06 10:36:11 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469845814 Issues and challenges Data Warehouse in Scalability (Mila) https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469850702 - As the volume of data grows, it becomes necessary to add more storage capacity, which can impact the overall performance of the system.




]]> 2023-02-06 10:41:01 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469850702 Issues and challenges Data Mining Implementation in Privacy and Security (Mila) https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469857960 - The use of personal data in data mining raises privacy concerns and strict regulations such as GDPR must be followed to ensure data security.

]]> 2023-02-06 10:47:54 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469857960 Issues and Challenge Data Warehouse in Performance ikashahidah https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469958101 -Large amounts of data can slow down the performance of the data warehouse, and finding the right balance between storage and retrieval speed can be challenging.]]> 2023-02-06 12:12:32 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469958101 Issues and Challenge Data Warehouse in Cost ikashahidah https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469958860 Implementing and maintaining a data warehouse can be expensive, especially for large organizations with large amounts of data.]]> 2023-02-06 12:13:15 UTC https://padlet.com/ainnana50/kk98d89ezbs9738w/wish/2469958860