MIS EXTRA CREDIT

Big data is extremely important in the MIS community. These data sets are so large that traditional databases cannot process all of the data . This is important because these data sets need to be processed so that the data is correctly presented. Misinformed data could cause many problems in the MIS process.
We have covered many different techniques that are used to interpret data in class. These techniques range from the use of the SAS software to creating data cubes. Big data has to be cut down into smaller sources to be able to use techniques such as the data cubes. These cubes simple cannot hold all of the information that big data offers. Companies themselves are creating data engines that are capable of processing more and more of this data . This big data includes data such as large amounts of customers to large amounts of inventory items that have to be processed.
In MIS2502, we have learned a couple different ways to interpret data. We have used data cubes, decision trees, different software, all of these items are used to interpret data. Big data causes a problem for these mechanics. These different ways to interpret the data cannot be used for big data. The data sets are just too massive for these programs or ideas to withstand.
In conclusion, for big data to be interpreted, companies need to set up large serves that are able to withstand such an influx of data. Amazon and Netflix are two prime examples of this practice. Both companies provide services to such a large number of customers that the data could not be interpreted in a traditional way. These serves need to be set up to allow such large data sets to be interpreted and to be interpreted in a way that is beneficial to the company.