DATA WAREHOUSE

Data warehouse, as it’s words, mean a storeroom for huge of data. The synonim of data warehouse is data storage, a place to store many kinds of data. Wikipedia defines it as a repository of an organization’s electronically stored data, which designed to facilitate reporting and analysis.

Jill Dyche, in his book “Turning Data into Information with Data Warehousing, states that a data warehouse is a repository of information extracted from other corporate systems -be they transactional systems, departmental databases, or the company’s Intranet- and accessible to business users.

So, what are the purposes of data warehouse?
1. As a place to collect data. Data and its relationship stored in one place, then the catalog of each kind of data make it easier to find what data we need.
2. to facilitate reporting and analysis data.
3. used for decision making on level of knowledge management.

With new technique and present technology of processing information, data warehousing become most popular need as structured data storage. A pattern will be extracted from data warehouse to find strategies or knowledge. It calls Data Mining.

Bibliography
Data Warehouse. http://en.wikipedia.org/wiki/Data_warehouse
Dyche, Jill. e-Data : Turning Data into Information with Data Warehousing. United States of America : Addison-Wesley, 2000.

DATA to become DATABASE

Semua elemen dapat dijadikan data, bahkan informasi itu sendiri. Dalam prosesnya untuk diubah menjadi informasi yang berguna, berbagai jenis dan bentuk data tersebut diproses, diolah dan disimpan dalam bentuk database / basis data. Data yang berdiri sendiri tidak berarti apa – apa sebelum dilakukan proses pengolahan ke dalam bentuk informasi dengan bahasa query.

Struktur data dalam sebuah database menentukan script query yang nantinya akan digunakan dalam proses penampilan data / penyaringan informasi. Namun demikian, pembuatan sebuah database harus mengikuti kaidah – kaidah basis data. Pada prinsipnya data dalam suatu database tidak boleh bersifat duplikasi dan redudansi. Duplikasi adalah terdapatnya lebih dari satu data yang sama. Redudansi adalah pengulangan item data sehingga menyebabkan inkonsistensi data.

Dalam ilmu database, proses menghindari duplikasi dan redudansi tersebut dikenal sebagai proses normalisasi data.

DATA

Data is a representation of a fact, figure, and idea. In computer science, data is anything in a form suitable for use with a computer, in any form, such us numbers, words, images, etc. Then, what does data used for?

Data storing lots of information. Information is a message received and understood, or the value of the data than can be sent as a message. In the next level, we can find out Knowledge as the highest level of data abstraction.

To become a useful information and knowledge, data should be processed, manipulated and extracted. There are any rules to store and arrange the data to facilitate information we need. It called database models. A database is an integrated collection of logically-related records or files consolidated into a common pool that provides data for one or more multiple uses. It can’t content redudancy and duplication data. To manage a huge and integrated data, we have to know about database management.

To build a database, it’s important to know what kind of data will be processed as the input, and what information we want to serve as the output. So, the first step is identify the data, include the usability, type of data and relationship between item data. Then, make the global schema that shows entities and their relationships. To decrease redudancies and duplications, we have to normalized the data. The third step is make physical design, or refine the schema. Finally, it’s time to implementation, monitoring and modification database.

Bibliography :

Teorey, Toby, et al. Database Modelling and Design Fouth Edition. San Fransisco : Elseiver Inc, 2006.

Database. http://en.wikipedia.org/wiki/Database.

Information. http://en.wikipedia.org/wiki/Information.

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