What types of indexes are built for a warehouse? Illustrate the uses for each with an example.

Short Answer

Expert verified
Four types of indexes in data warehousing are Bitmap indexes, B-tree indexes, Function-based indexes and Clustering indexes. Bitmap index is best used in repetitive data columns, B-tree indexes are used for unique, non-repetitive columns, function-based indexes are useful for calculated columns like total sales, while Clustering Indexes work well for geographical data. Each one facilitates targeted and quicker data retrieval in a data warehouse environment.

Step by step solution

01

Understand the definition of Indexes in Data Warehousing

In data warehousing, indexes are database objects used to improve the speed of data retrieval operations. The function of an index is to provide a pointer to data in a table, making it quicker to find and access. It works much like a book index, listing the places where specific content can be found.
02

State and describe the different types of Indexes

There are several types of indexes used in data warehousing, including Bitmap indexes, B-tree indexes, Function-based indexes, and Clustering Indexes. A Bitmap index is employed where column values are very repetitive and can drastically reduce query time. B-tree indexes are the most common index structure, which includes a sorted list of key values with pointers. Function-based indexes facilitate the computation of the index based on some function. Clustering Indexes are used to sort rows of data to optimize certain types of queries.
03

Provide examples of each index type

To illustrate these indices: A Bitmap index could be used in a warehouse data column indicating product availability (√) or out of stock (X). It's quick to scan because of limited distinct values. B-tree indexes could be used for customer names in the warehouse data, as names are unique and non-repetitive. A Function-based index could be used for sales data, where the index might be based on a calculation such as total sales value (quantity*item price). Clustering Indexes could be arranged according to the region of the warehouse, optimizing queries related to geographical data.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Study anywhere. Anytime. Across all devices.

Sign-up for free