OLAP Interview Questions

A multidimensional implementation or OLAP (online analytic or analytical processing) requires a database with special features that allow it to store cubes as actual objects in the database, and not just tables that are used to represent a cube and dimensions. It also provides advanced calculation and...

This tutorial covers OLAP solutions used by Data warehouses and understanding Data Warehouse design. The enterprise needs to ask itself certain fundamental questions before actually launching on the process of designing the data warehouse. It must begin with a conviction that a data warehouse would really...

This tutorial covers Designing the Dimensional Model, Dimensional Model schemas like Star Schema, Snowflake Schema, Optimizing star schema and Design of the Relational Database, OLAP Cubes and Data mining tools, Security considerations, metadata and backup and recovery plans.Preparing the data for OLAP...

This tutorial covers the different types of OLAP models like Relational Online Analytical Processing mode( ROLAP), Multidimensional Online Analytical processing mode(MOLAP) and Hybrid Online Analytical Processing mode or HOLAP. Cubes in a data warehouse are stored in three different modes. A relational...

This tutorial covers the types of changes that impact on cubes and Synchronization OLAP and data warehouse data. Multidimensional cubes are created out of the data stored in the data warehouse. Numerical measures are also summarized into pre-aggregated values when cubes are constructed. These cubes are...

PivotTable component in Office 2000 is the PivotTable report feature. It allows the user select and cross tabulate numerical values in ways that are similar to the processes of a cube. The earlier versions of this report in Excel could only extract values from relational data sources. The version under...

Matrix provides a similar functionality (roughly speaking rows against columns) to cross-tab reports in MS Access (Resource Link) and Pivot Table dynamic views (Resource Link). The matrix should have at least one row group and one column group. The matrix can expand both ways to accommodate the data,...

Looking at our Project Explorer window with our target Oracle module expanded, we can see a number of objects that are available to us as shown here: There are objects that are relational such as Tables, Views, Materialized Views, and Sequences. Also, there are dimensional objects such as Cubes...

Oracle Warehouse Builder 11g: Getting Started  By Bob Griesemer About the Author Bob Griesemer has over 27 years of software and database engineering/DBA  experience in both government and industry, solving database problems, designing  and loading data warehouses, developing...

This tutorial starts with the introduction to Data Warehousing, Definition of OLAP, difference between Data warehouse and the OLTP Database, Objectives of data warehousing and data flow. Computerization of business processes; technological advances in transmission and storage of data; and powerful...

Data Warehousing Experts Job Overview A data warehousing expert is a person who is an expert on database and in business environment. Database is very important for any business whose operations are based online. Beyond what is seen on websites, database provides the right information and possibly...

What is a Multi-dimensional Model? Multi-dimensional model is an integral aspect of the On-line Analytical Processing which also known as OLAP. Due to the fact that OLAP is online it provides information quickly, iterative queries are often posed during interactive sessions. Due...

On-Line Analytical Processing On-Line Analytical Processing is a processing that supports the analysis of business trends and projections. It is also known as decision support processing and OLAP.  An OLAP software enables companies to have real-time analysis of data stored in a database. An OLAP...

In the broadest sense of the word, aggregation means collecting and combining of data horizontally, vertically and chronologically and then expressed in summary form to be used for statistical analysis. In the more technical sense, aggregation is a special kind association that specified a part of whole...

Business data refers to the information about people, places, things, business rules, and events in relation to operating a business. Serious businesses need to consider setting up business intelligence and data warehouses.  In pursuing these capabilities, they need to adopt a holistic view coupled...

In Data Aggregation, value is derived from the aggregation of two or more contributing data characteristics.   Aggregation can be made from different data occurrences within the same data subject, business transactions and a de-normalized database and between the real world and detailed...

In a company, a database contains millions of atomic data. Atomic data are data information that cannot be further broken down. For example, product name is an atomic data because it can longer be broken down but product raw material can be broken further into raw components depending on the good. An...

Data Generalization is the process of creating successive layers of summary data in an evaluational database. It is a process of zooming out to get a broader view of a problem, trend or situation. It is also known as rolling-up data. There are millions and millions of data stored in the database and...

Data Warehouse Infrastructure basically supports a data warehousing enviroment with the help of a combination of technologies.   In its most general definition, a data warehouse is large repository of all sorts of data the implementing organization would in need in the present and in the...

A data warehouse is "a subject-oriented, integrated, time-variant, non-volatile collection of data in support of management's decision making process". As brief backgrounder, a data warehouse is a rich repository of corporate data containing not just historical corporate information which...