Data Warehousing and OLAP Technology (Data warehousing)

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-51 Number-1
Year of Publication : 2017
Authors : Priyanka Jaroli, Palak Masson
DOI :  10.14445/22315381/IJETT-V51P208


Priyanka Jaroli, Palak Masson "Data Warehousing and OLAP Technology (Data warehousing)", International Journal of Engineering Trends and Technology (IJETT), V51(1),45-50 September 2017. ISSN:2231-5381. published by seventh sense research group

Data warehousing and on-line analytical processing (OLAP)are essential elements, which has focus on the database industry. Many products and services are now available, and all the management concept is based on database management principle. Data warehousing is create using to approach (1)top down approach (2)bottom up approach . Decision support places database technology is used but in different- different ways. compared both traditional on-line transaction processing and modern on-line transaction processing applications. This paper provides an overview of data warehousing and OLAP technologies. We describe back end tools for extracting, cleaning and loading data into a data warehouse; multidimensional data models are typical to use in OLAP; Now describe front end client tools for querying and data analysis; server extensions for efficient query processing; and tools for metadata management and managing the warehouse. In this paper also identifies some research and database problem .this technology is presented at the VLDB Conference, 1996.

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ROLAP, MOLAP, redundant structures, rollup, drill down, slice-dice, pivot, Snowflake.