Data warehousing and data mining

  • 5 examples of data warehouse

    Data processing occurs when data is collected and translated into usable information.
    Usually performed by a data scientist or team of data scientists, it is important for data processing to be done correctly as not to negatively affect the end product, or data output..

  • How does data warehouse differ and relate with data mining?

    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.
    In contrast, data mining is the process of extracting meaningful data from that database.
    Data mining can only be done once data warehousing is complete..

  • What is the difference between data warehouse and data mining and data lake?

    A data lake is a massive repository of structured and unstructured data, and the purpose for this data has not been defined.
    A data warehouse is a repository of highly structured historical data which has been processed for a defined purpose..

  • How to build a data warehouse in 7 steps:

    1. Elicit goals
    2. Conceptualize and select the platform
    3. Create a business case and develop a project roadmap
    4. Analyze the system and design the data warehouse architecture
    5. Develop and stabilize the system
    6. Launch the solution
    7. Ensure after-launch support
Data warehousing refers to a typical procedure of compiling and organising data into a common database. On the other hand, data mining basically refers to the process of extracting useful data from various databases.

Characteristics of Data Warehousing

1. Integrated 2. Time variant 3

Data Mining

Data mining refers to extracting knowledge from large amounts of data. The data sources can include databases, data warehouse, web etc

What Kind of Data That Can Be mined?

1. Database Data 2. Data Warehouse 3

Scope of Data Mining

1. Automated Prediction of trends and behaviours: Data mining automate… 2

What is a data warehouse?

Data warehouse is basically a database of unique data structures that allows relatively quick and easy performance of complex queries over a large amount of data

It is created from multiple heterogeneous sources

The purpose of Data warehouse is to support the decision making process

What is data mining used for?

Data mining is used in market analysis and management, fraud detection, corporate analysis, and risk management

Data mining aids in a variety of data analysis and sorting procedures

The identification and detection of any undesired fault in a system is one of the best implementations here


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