Abstract
Hive would not be much of a useful data warehouse tool without the ability to query data. Luckily, querying and providing schema-on-read capabilities at scale is the core foundation for Hive use cases.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Scott Shaw, Andreas Francois Vermeulen, Ankur Gupta, David Kjerrumgaard
About this chapter
Cite this chapter
Shaw, S., Vermeulen, A.F., Gupta, A., Kjerrumgaard, D. (2016). Querying Semi-Structured Data. In: Practical Hive. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0271-5_7
Download citation
DOI: https://doi.org/10.1007/978-1-4842-0271-5_7
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0272-2
Online ISBN: 978-1-4842-0271-5
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)