Advantages of Data Warehousing
1. The data warehouse’s job is to make any form of corporate data easier t…
2 Disadvantages of Data Warehousing
1. There is a great risk of accumulating irrelevant and useless data. Data lo…
2 Data Mining
It is the process of finding patterns and correlations within large data sets to identify relationships between data Advantages of Data Mining
1. Data mining aids in a variety of data analysis and sorting procedures. T…
2 Disadvantages of Data Mining
1. Data mining isn’t always 100 percent accurate, and if done incorrectly, i…
2 ×Data warehousing and data mining are two related but distinct processes.
Data warehousing is the process of compiling and organizing data from various sources into a common database.
Data mining is the process of extracting and analyzing useful patterns and information from the data warehouse. Data warehousing supports management functions, while data mining aids in discovering hidden trends and relationships within the data.,The main
difference between
data warehousing and
data mining is that data
warehousing is the process of compiling and organizing data into one common database, whereas data
mining is the process of extracting meaningful data from that database. Data
mining can only be done once data warehousing is complete.
Data warehousing is the process of aggregating data from various heterogeneous sources and compiling it into a single homogenous data schema that can then be used for data analytics.
Data mining, on the other hand, is the process of performing data analytics on the warehoused data, extracting hidden trends and relationships within the dataset.A data warehouse primarily supports management functions, while
data mining aids in extracting useful patterns and information from data. In other words, data warehousing is the process of compiling data into a warehouse, while data mining involves extracting useful information from this compiled data.Data
mining is considered as a process of extracting data from large data sets, whereas a
Data warehouse is the process of pooling all the relevant data together.
Data mining is the process of analyzing unknown patterns of data, whereas a Data
warehouse is a technique for collecting and managing data.
Comparison between data mining and data warehousing: Data Warehousing. Data Mining. A data warehouse is database system which is designed for analytical analysis instead of transactional work. Data mining is the process of analyzing data patterns. Data is stored periodically. Data is analyzed regularly.
