Data Warehouse and Security Approach With Data Compression
Published: 2019
Author(s) Name: Nirmla Sharma and S. K. Gupta |
Author(s) Affiliation: Assistant Professor, Computer Science Department, King Khalid University, Abha, Saudi Arabia.
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Abstract
Data warehouses provide analytics with rapidity
and easiness to drive use. The opposition in the epoch of big data establishments progressively to trust on data warehouses to offer the commercial serious recording and study desired to authorize commercial choices and initiative outcomes. Still, as the quantity of data warehouses loading complex data rises, increase in the large amount of doses on those data warehouses. Societies are tested with applying data security policies to defend data.
Data engineers, data experts, and designers in creativities through the sphere are observing data warehousing to the cloud to raise presentation and lesser prices. Nowadays a huge volume of facts is accessible on the internet and data warehouse covers managed facts from dissimilar causes. Consequently its security is greatest significant issue perception. Security features must be measured in the initiative level of the data warehouse. The core purposes of this research paper to assessment the security approach exactly for data warehouse situation.
Keywords: Data compression, Data warehoue, Lossless and lossy compression, Security issues.
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