Business Intelligence & Metadata Tutorial: Business Intelligence is a terminology refers to taking advantage of data and converting them into an intelligent information or knowledge by carefully observing data patterns or trends. These findings are key factors in helping any business to improve it’s current business processes to gain more on customer satisfaction, increase sales,…
OLAP Database – Multidimensional: This is a type of database that is optimized for data warehouse, data mart and online analytical processing (OLAP) applications. The main advantage of this database is query performance. Relational databases make it easy to work with individual records, whereas multidimensional databases are designed for analyzing large groups of records. Relational database…
OLAP & its Hybrids: OLAP, an acronym for Online Analytical Processing is an approach that helps organization to take advantages of DATA. Popular OLAP tools are Cognos, Business Objects, Micro Strategy etc. OLAP cubes provide the insight into data and helps the topmost executives of an organization to take decisions in an efficient manner. Technically, OLAP…
OLAP Analysis: Imagine an organization that manufactures and sells goods in several States of USA which employs hundreds of employees in its manufacturing, sales and marketing division etc. In order to manufacture and sell this product in profitable manner, the executives need to analyse (OLAP analysis) the data on the product and think about various…
Business Intelligence Tools: Business Intelligence Tools help to gather, store, access and analyze corporate data to aid in decision-making. Generally these systems will illustrate business intelligence in the areas of customer profiling, customer support, market research, market segmentation,product profitability, statistical analysis, inventory and distribution analysis. With Business Intelligence Tools, various data like customer related, product…
Business Intelligence: Business Intelligence is a technology based on customer and profit oriented models that reduces operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision making capabilities at no time. Business Intelligence Models are based on multi dimensional analysis and key performance indicators (KPI) of an enterprise. Business…
Metadata Reports: Metadata stored in a repository can be produced in the form of reports for easy understanding and these reports are very useful in explaining about the various objects or data structures and the relationship between these objects. The following products like Schema Logic Enterprise Suite, Rochade, Metatrieve, Datamapper, Metacenter, Metadata Integration Frame work…
Role of Metadata in ETL: When you deal with a data warehouse, various phases like Business Process Modeling, Data Modeling, ETL, Reporting etc., are inter-related with each other and they do contain their own metadata. For example in ETL, it will be very difficult for one to extract, transform and load source data into a…
Technical Metadata: Technical metadata describes information about technology such as the ownership of the database, physical characteristics of a database (in oracle, table space, extents, segments, blocks, partitions etc), performance tuning (processors, indexing), table name, column name, data type, relationship between the tables, constraints, abbreviations, derivation rules, glossary, data dictionary, etc., and is used by…
Metadata: Metadata is data about data. Metadata comes into picture when we need to know about how data is stored and where it is stored. Metadata tools are helpful in capturing business metadata and the following section explains business metadata. Business Metadata: In IT, Business Metadata is adding additional text or statement around a particular…
