Abstract
When you’re on a data science team, you’ll often deal with many different types of data. These different types will be a key factor in determining how you’ll want to store your data. Technologies like NoSQL provide you with a lot of flexibility to store different data types. Relational databases give you less flexibility, but they’re sometimes easier to work with, and it’s generally easier to generate reports in relational databases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Doug Rose
About this chapter
Cite this chapter
Rose, D. (2016). Recognizing Different Data Types. In: Data Science. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2253-9_3
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2253-9_3
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2252-2
Online ISBN: 978-1-4842-2253-9
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)