Purchase Solution

Data Warehouse, Data Mining, and OLAP Tools

Not what you're looking for?

Ask Custom Question

Explain the following terms: Data Warehouse, Data Mining, OLAP Tools.

Purchase this Solution
Solution Summary

Data Warehouse, Data Mining, OLAP Tools are explained.

Solution Preview

A data warehouse is a collection of data gathered and organized so that it can easily by analyzed, extracted, synthesized, and used for ...

Purchase this Solution
Free BrainMass Quizzes
C# variables and classes

This quiz contains questions about C# classes and variables.

C++ Operators

This quiz tests a student's knowledge about C++ operators.

Inserting and deleting in a linked list

This quiz tests your understanding of how to insert and delete elements in a linked list. Understanding of the use of linked lists, and the related performance aspects, is an important fundamental skill of computer science data structures.

Basic Computer Terms

We use many basic terms like bit, pixel in our usual conversations about computers. Are we aware of what these mean? This little quiz is an attempt towards discovering that.

Basic Networking Questions

This quiz consists of some basic networking questions.

View More Free Quizzes
Related BrainMass Solutions

  • Differences between OLTP and OLAP Databases

    • Describe the differences between a data mart and data warehouse. Data mart and data warehousing are nothing but tools being used in data storage.

  • Data WareHousing and Data Mining

    This solution describes features and advantages of data warehousing and data mining in terms of cost/benefit and also examines the role of database administration.

  • Data warehouse concepts

    - Main tools that enable access to data warehouses include reporting tools such as Business Objects, query languages such as SQL, OLAP tools, and statistical analysis tools such as SAS.

  • Database and OLAP tools

    94706 Database and OLAP tools Sears competes using database warehouse and OLAP tools. What can be done to overcome store managers' resistance to the use of data and analytical tools? Is their resistance to analysis necessarily a bad thing?

  • High-Level Summary: Web Database and Data Warehouse

    Java Applets- Applets provide virtually all the functionality of popular OLAP tools running under Windows or other popular GUIs. OLAP tools require a larger applet to provide functionality and control comparable to that of traditional client-server.

  • difference between ROLAP and MOLAP

    OLAP can be used for data mining or the discovery of previously undiscerned relationships between data items. An OLAP database does not need to be as large as a data warehouse, since not all transactional data is needed for trend analysis.

  • Warranty Service and Technology

    We already run a number of online analytical processing (OLAP) activities to process data for Retro." Your discussion with Simon highlights how hardware and software issues may be a constraint to the implementation of a data-mining project.

  • Online Transaction & Online Analytical Processing

    OLAP software allows for the real-time analysis of database information and processes data mining tasks with its specialized algorithms and unique indexing tools (databases.about.com).

  • Data Resource Management

    Included within the data warehouse environment is an extraction, transportation, transformation, and loading (ETL) solution as well as an online analytical processing (OLAP) engine with client analysis tools for the business.

View More Related Solutions