IS 425 Lecture Notes - Lecture 9: Data Integrity, Big Data

• School: University of Maryland-Baltimore County
• Department: Information Systems
• Course: IS 425
• Professor: T R

Document Summary

The section 9. 3 section is about the big data analytics and its fundamentals. It mentions that no matter what kind of big data we have it will have no value unless it is used to do analytics. Simply big data has no value, it is considered valuable only when big analytics is done using the data. Although big data is crucial for any organization, it may bring many difficulties to them. It is very important that the data that is stored is efficient and effective. There may be many restrictions that the stop from data to be processed. Many schema of data might not allow to new sources of data because it does not fit their criteria. When making analysis it is very important to take and use all the data gathered. The type of schema that is used to store any type data is very because it incorporates many different types of data sets.