Common questions

What is data warehouse in data mining ppt?

What is data warehouse in data mining ppt?

Benefits of Data Warehousing • A Data Warehouse Provides Historical Intelligence  A data warehouse stores large amounts of historical data so we can analyze different time periods and trends in order to make future predictions  can enable advanced business intelligence including time-period analysis, trend analysis.

What is data mining and data warehousing?

Data mining is the process of analyzing data patterns. Data is stored periodically. Data is analyzed regularly. Data warehousing is the process of extracting and storing data to allow easier reporting.

How do you use data warehousing and data mining?

The data mining process depends on the data compiled in the data warehousing phase to recognize meaningful patterns….Differences between Data Mining and Data Warehousing:

Data Mining Data Warehousing
Data mining is the process of determining data patterns. A data warehouse is a database system designed for analytics.

What is the data warehouse concepts?

A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources.

What are the biggest challenges a company faces when trying to implement a data warehouse?

Here are the five most common challenges of working with a traditional data warehouse:

  • High costs and failure rates.
  • Rigid, inflexible architecture.
  • High complexity and redundancy.
  • Slow and degrading performance.
  • Outdated technologies.

What is data mining explain structure of data mining?

The mining structure defines the data from which mining models are built: it specifies the source data view, the number and type of columns, and an optional partition into training and testing sets. A single mining structure can support multiple mining models that share the same domain.