Now-a-days we have a tendency to be in modern era. There are immense quantity of knowledge and knowledge, that to be collected from completely different sources and analyzed to urge the information. Once grouping the info from numerous sources, it's keep in huge repositories, that is thought as knowledge warehouse. There is variety of techniques wont to extract the knowledge from data warehouse and analyze to urge the important information that is thought as data processing. For this purpose, we have a tendency to use completely different data processing tools like wood hen, KEEL, R, KNIME, ORANGE etc. During this paper we are going to compare completely different data processing technique and tools for maintenance in knowledge warehouse.

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