Question: Q2 While storing data into data ware house it may be possible that some data elements are missed or not available, how we can fill

 Q2 While storing data into data ware house it may be

Q2 While storing data into data ware house it may be possible that some data elements are missed or not available, how we can fill this missing data during ETC processing? Q3 There are different types of Data Mining Techniques that may be used for data prediction elaborate Unsupervised Learning approach for data mining? Q4 Data Mining is "Hot how? Q5 When in our data ware house we have a large amount of data and we need to perform operation on it then we can use parallelization, how this technique is worked for OLTP and for DSS? Q2 While storing data into data ware house it may be possible that some data elements are missed or not available, how we can fill this missing data during ETC processing? Q3 There are different types of Data Mining Techniques that may be used for data prediction elaborate Unsupervised Learning approach for data mining? Q4 Data Mining is "Hot how? Q5 When in our data ware house we have a large amount of data and we need to perform operation on it then we can use parallelization, how this technique is worked for OLTP and for DSS

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