06 October, 2020
Ans: Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to one file, called a master file, that provides a common point of reference. When properly done, MDM streamlines data sharing among personnel and departments.
Ans: It's a matter of awareness and the problem becoming urgent. We are seeing budgets increased and greater success in closing deals, particularly in the pharmaceutical and financial services industries. For rester predicts MDM will be $6 billion markets by 2010, which is a 60-percent growth rate over the $1 billion MDM market last year. Gartner forecasts that 70 percent of Global 2000 companies will have an MDM solution by the year 2010. These are pretty big numbers.
Ans: Technical folks often have a challenge in data governance in selling the project and getting the funding. Management is looking for a return on investment; they need MDM tied to quantifiable benefits that business leaders understand, like dollar amounts around ROI.
Ans: A data warehouse is the main repository of an organization’s historical data, its corporate memory. It contains the raw material for the management’s decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. Data warehousing collection of data designed to support management decision making. Data warehouses contain a wide variety of data that present a coherent picture of business conditions at a single point in time. It is a repository of integrated information, available for queries and analysis.
Offline Operational Databases – Data warehouses in this initial stage are developed by simply copying the database of an operational system to an off-line server where the processing load of reporting does not impact on the operational system’s performance.
Offline Data Warehouse – Data warehouses in this stage of evolution are updated on a regular time cycle (usually daily, weekly or monthly) from the operational systems, and the data is stored in an integrated reporting-oriented data structure.
Real-Time Data Warehouse – Data warehouses at this stage are updated on a transaction or event basis, every time an operational system performs a transaction (e.g. an order or a delivery or a booking, etc.)
Integrated Data Warehouse – Data warehouses at this stage are used to generate activity or transactions that are passed back into the operational systems for use in the daily activity of the organization.
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Ans: Dimensional data model concept involves two types of tables and it is different from the 3rd normal form. This concept uses the Facts table which contains the measurements of the business and the Dimension table which contains the context(dimension of calculation) of the measurements.
Ans: Powercenter is the data integration software of Informatica Corporation which provides an environment that allows loading of data into a centralized location such as a data warehouse. Data can be extracted from multiple sources that can be transformed according to business logic and can be loaded into files and relation targets.
Ans: Following are the various components of Informatica PowerCenter,
Ans: A mapping is a set of source and target definitions linked by transformation objects that define the rules for data transformation. Mappings represent the data flow between sources and targets.
Ans: A mapplet is a reusable object that contains a set of transformations and enables to reuse of that transformation logic in multiple mappings.
Ans: A transformation is a repository object that generates, modifies, or passes data. Transformations in a mapping represent the operations the Integration Service performs on the data. Data passes through transformation ports that are linked in a mapping or mapplet.
Ans: Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information.
Ans: The fact table contains measurements of business processes also fact table contains the foreign keys for the dimension tables. For example, if your business process is “paper production” then “average production of paper by one machine” or “weekly production of paper” would be considered as a measurement of the business process.
Ans: Dimensional table contains textual attributes of measurements stored in the facts tables. A dimensional table is a collection of hierarchies, categories, and logic that can be used for a user to traverse in hierarchy nodes.
Ans: There are two different ways to load data in dimension tables.
Ans: Following are ways to remove duplicate records
Ans: Use the following query
SELECT MAPPING_NAME FROM REP_ALL_MAPPINGS WHERE SUBJECT_AREA='YOUR_FOLDER_NAME' AND PARENT_MAPPING_IS_VALIED <>1
Ans: Data movement modes determine how the power center server handles the character data. We choose the data movement in the informatica server configuration settings. Two types of data movement modes available in Informatica.
Ans: OLTP is an abbreviation of On-Line Transaction Processing. This system is an application that modifies data the instance it receives and has a large number of concurrent users.
Ans: OLAP is the abbreviation of Online Analytical Processing. This system is an application that collects, manages, processes, and presents multidimensional data for analysis and management purposes.
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