What is meaning of OLTP, ETL, OLAP and data warehousing?


What is OLTP, ETL, OLAP and data warehousing? i want to Just share a little knowledge we get from our meditation during this
free time at work.hehe ... because according to the old adage "Science will run out if not in amalkan" and therefore the Spirit of Sharing is easy - I hope we get the science that can be beneficial for Reading all that, especially brothers - sisters are in the process of learning as much as we Datawarehouse.

If we learn about Datawarehouse we will encounter a creature and this delicate creature is OLTP, ETL and OLAP ... who are they? I'll peel one by one sharp, as sharp ... sword ... check the definition at below:




Data Warehouse is a database that contains data that usually represents the business history of an organization. Historical data from the data warehouse is used in the analysis activities that support business decisions in several levels. Data Warehouse to talk about how the data is large and diverse stored in a single repository (data warehouse) and so arranged that facilitate the search. The data in the data warehouse is organized to support the analysis, instead of processing transactions in real time, such as online transaction processing systems (OLTP).

OLTP Online Transaction Processing or often known as OLTP is a process-oriented systems that process transactions directly through computers connected in a network. For example commonly used in a supermarket, the cashier using the machine in the transaction process. OLTP has some characteristics of the user can be creating, updating, retrieving for each data record, OLTP is optimal for updating the data. ETL ETL process is a cornerstone of a data warehouse. A true ETL design will extract the data from the source system, maintaining the quality of the data and apply the standard rules, and present data in a variety of forms, so it can be used in the decision making process (Kimball and Caserta 2004).

ETL process is a sequence of stages starting from the sourcing of data (src) and data-transform through the process of look-up bulk of data (lkpbld) and transform (XFM). ETL process ends with the load process to a wide range of output in accordance with the scheme, which consists of the load-up data (lodupd), load-insert the data (lodins), and bulk load of data (lodbld). Of these stages, it can be analyzed PM EDW performance based on the estimated time of each process.

OLAP Online Analytical Processing, or OLAP abbreviated approach is to present an answer from the request analysis process that is both rapid dimensional, ie the design of applications and technologies that can collect, store, manipulate a multidimensional data for the purpose of analysts. OLAP is part of a more global categories of business thinking, which also summarizes the relationship between reporting and data mining.

OLAP is a special application of business reporting for sales, marketing, management reporting, business process management (CDM), budgeting and forecasting, financial reporting and similar areas. The term OLAP is downsizing from a long term database OLTP (Online Transaction Processing). Database that are configured to service OLAP multidimensional data model, can be used for the analysis of complex and specific queries (ad hoc) with a rate of execution time. They borrow aspects of navigational databases and hierarchical databases faster than sefamilinya.

Nigel Pendse suggest an alternative and perhaps more descriptive term which explains that the concept of OLAP is Fast Analysis of multidimensional information to be sharing (FASMI) The output of OLAP queries specifically shown in the format of the matrix or pivot. Dimensions forming rows and columns form the size of a value of the matrix.

So a little explanation of our easy - I hope can be useful for semua..amin. And sorry if a lot of mistakes because it is still in the process of belajarJ and if from a friend - a friend who wants to learn more about the datawarehouse we also include a link to download the Application SQL Integration Service for 2008 and Adventure Works, 2008 which can be friends - friends download on the website www. wrox.com and video installation in http://www.youtube.com/watch?v=x7EX_BwNAb4 From: Various Sources

More info: http://www.kompasiana.com/dhephe/apa-itu-oltp-etl-olap-dan-datawarehouse_552e1db26ea834f73d8b45b7

ridwan amirudin

"Help young people. Help small guys. Because small guys will be big. Young people will have the seeds you bury in their minds, and when they grow up, they will change the world." "Never give up. Today is hard, tomorrow will be worse, but the day after tomorrow will be sunshine." Jack Ma

1 comment:

  1. I truly appreciate the time and work you put into sharing your knowledge. I found this topic to be quite effective and beneficial to me. Thank you very much for sharing. Continue to blog.

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