Data Warehouse
Summary :
Table of Contents
- Introduction
- Meaning of a data warehouse
- Usage of data warehouse
- Decision support
- Evolution of decision support
- The data warehousing process
- OLTPS vs data warehouse
- Characteristics
- Data marts
- Building a data mart
- Warehouse models and operators
- Implementing a warehouse
- Data warehousing life cycle
- Operations
- Data transformation and data update
- Advantages and disadvantages of data warehousing
- Conclusion
Abstract
Nowadays data is everywhere and yet we are not able to access proper data that we want effectively. You can't get the data that you want, you can't understand the data you found and you can't effectively use the data you found. There is data in network but you are not able to access because it is scattered. Sometimes available data is poorly documented. Sometimes we face version problems. There is the problem of transformation as well.
data warehousing is the technique for assembling and managing data from various sources for the purpose of answering business questions, thus making decisions that were not previously possible. A decision support database is maintained separately from the organization's operational database.
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