OLAP is a very useful business tool which is used in solving the business issues. In every business house there are certain complex issues which need to be solved at the right time for the smooth functioning of the business houses. For solving the business issues of the business houses this business tool is really very effective. This tool is very fast and that is why it is called as replica of speed. This tool can solved the issues of the business houses within a very short period of time. this business tool is not only used in solving the problems of the business houses but it is also used in performing many business related functions like business processing, business marketing, forecasting, budgeting etc. these are some of the important functions of the business houses which is performed by this tool. The rows and the columns used in this software is framed by measures. These measures are nothing but the numeric facts. This tool is the recent version or the new version of OLTP. OLTP is the older version and it is not as fast as OLAP. This tool is really very effective tool in business houses and corporate houses.
OLAP has been divided in certain parts like MOLAP, ROLAP, HOLAP etc. these are some of the parts which in solving the problems of the business houses. Among them MOLAP and HOLAP are mostly used by the business houses. To get more details about this business tool you can take the help of internet.
Tuesday, November 29, 2011
Tuesday, November 22, 2011
OLAP a perfect tool for solving business problems
In every business house there are certain business related issues or complex problems which need to be solved at the right time and for solving these problems OLAP business tool is really very helpful and effective. This is the perfect tool for solving the business issues and thus it is used in every business house for solving the business issues. But the function of this business tool is not only limited to solve the problems of the business houses but also at the same time performs various business related functions like business processing, business out sourcing, budgeting, forecasting etc. these are some of the functions which are performed by this effective software. This software is very speedy and can solve the problems within a very limited period of time. The use of this software is increasing day by day and it will also increase as time passes by. This software is the newer version of OLTP. Previously the business houses use only OLTP but it was not so much fast as OLAP. The output of OLAP is presented in pivot or matrix format. On other hand the function of this software depends upon OLAP cubes. There are various types of cubes like hyper cube, multidimensional cube etc. these are some of the cubes on which the function of OLAP mainly depends.
OLAP has been divided in certain parts like MOLAP, ROLAP, HOLAP etc. among them MOLAP and HOLAP are mostly used by people. To get more information about this software one can search it through internet.
Monday, November 21, 2011
OLAP to analyze multi-dimensional queries
OLAP or online analytical processing tools enable users to swiftly and interactively analyze multidimensional data from multi-dimensional analytical queries MDA. Applications of OLAPare extensively found in business reporting, sales and market reporting, management reporting, business process management, budgeting and forecasting, share and capital market, financial reporting, agriculture, etc. It’s a variation of relational database model that uses multidimensional structures to organize and express the relationships between data.
OLAP Business tools use these databases because of their ability to deliver answers to complex business queries instantly. OLAP produces results faster than any other multi-tier relational database. The mechanism in OLAP which allows it to achieve such performance is the use of aggregations or views. These views are built from the fact table by changing the granularity on specific dimensions and aggregating up data along these dimensions. Often only a predetermined number of aggregations are fully calculated; the remainders are solved on demand. The problem of deciding which aggregations to calculate is known as the view selection problem. The objective of view selection is typically to minimize the average time to answer OLAP queries. Data and reports can be viewed from various angles, which give a broader perspective. The first product that performed OLAP queries was Express, which was released in 1970 and acquired by Oracle. However the name OLAPwas coined by Edgar F. Codd, who is described as the father of the relational database.TopOLAP vendors are SAP AG, Oracle, Microsoft Corp., IBM, MicroStrategy, Infor, etc.
OLAP Business tools use these databases because of their ability to deliver answers to complex business queries instantly. OLAP produces results faster than any other multi-tier relational database. The mechanism in OLAP which allows it to achieve such performance is the use of aggregations or views. These views are built from the fact table by changing the granularity on specific dimensions and aggregating up data along these dimensions. Often only a predetermined number of aggregations are fully calculated; the remainders are solved on demand. The problem of deciding which aggregations to calculate is known as the view selection problem. The objective of view selection is typically to minimize the average time to answer OLAP queries. Data and reports can be viewed from various angles, which give a broader perspective. The first product that performed OLAP queries was Express, which was released in 1970 and acquired by Oracle. However the name OLAPwas coined by Edgar F. Codd, who is described as the father of the relational database.TopOLAP vendors are SAP AG, Oracle, Microsoft Corp., IBM, MicroStrategy, Infor, etc.
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