Factless fact tables are used for tracking a process or collecting stats. They are called so because, the fact table does not have aggregatable numeric values or information. They are mere key values with reference to the dimensions from which the stats can be collected. - Jayakumar
Data warehouse is the database on which we apply data mining.
Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.
Yes you can convert it and put into the table. You need to parse the data and decide where to put it.
A facility for storing and retrieving data; a type of server farm. Large facilities are usually duplicated in two or more separate locations to guard against data loss and communication outages.
ETL or Dataware Housing Testing:- ETL stands for Extract-Transform-Load and it is a process of how data is loaded from the source system to the data warehouse. Data is extracted from an OLTP database, transformed to match the data warehouse schema and loaded into the data warehouse database. Many data warehouses also incorporate data from non-OLTP systems such as text files, legacy systems and spreadsheets. Traditional (old) way of software testing: -Requirement -Design -Code & Build -Testing -Maintenance Unfortunately that is an erroneous methodology because the earlier you find an error - the more funds you can save. For example, fixing an error in maintenance is ten times more expensive than fixing it during execution. But many organizations have improved this way of thinking and choose modern way of software testing. In this philosophy testing should take place in every stage.
To keep track of a lot of data
it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.
A data warehouse stores structured data from various sources for analysis and reporting. It typically includes historical data, organized into tables, aimed at supporting decision-making processes. Data warehouses are optimized for complex queries and data aggregation.
A data warehouse differs from OLTP in that the former handles many large and complex queries regarding various rows of a table while the latter retrieves data from single rows. At the same time, a data warehouse is not real time and supports few users at a time compared to OLTP that can support many concurrent users.
to work efficient, easy to access
Data warehouse is a house where current as well as historical data can be stored.
Data warehouse is the database on which we apply data mining.
Data marts are combined into a data warehouse cannot be built alone without considering data marts. Both has equal importance to built proper data warehouse.
The purpose of data tables is to present tabular information in a grid, or matrix, and to have column or rows that show the meaning of the information in the grid.
A Data Mart is a type of tool used in computing data. Data Warehouses, or data storage servers, use the Data Mart to ensure data is delivered to customers. It is also known as the "access layer" of the warehouse program.
Every data structure in the data warehouse contains the time element. Why?
One of the biggest benefits is that you can archive your data to a data warehouse. This can keep your main "production" database smaller which can provide some performance benefits. Also you can use the data warehouse to run complex queries and data-mining without adverse effects on the performance of your "production" application.