Abstract
So far in this book, you have studied MapReduce and its derivative APIs. You learned about batch processes that emphasize throughput (the amount of work done per unit of time) over latency (the response time). Hadoop jobs can take hours to run, but the amount of work done per unit time is phenomenal. Yet there are use-cases for which response time is important. When a Facebook user posts a comment, it is sent as a notification to all the friends. This function needs to happen in near–real time, and it would not be ideal to have to wait until the end of the day for a batch job to execute to get these notifications.
This is a preview of subscription content, log in via an institution to check access.
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
© 2014 Sameer Wadkar and Madhu Siddalingaiah
About this chapter
Cite this chapter
Wadkar, S., Siddalingaiah, M. (2014). Building Real-Time Systems Using HBase. In: Pro Apache Hadoop. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-4864-4_14
Download citation
DOI: https://doi.org/10.1007/978-1-4302-4864-4_14
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-4863-7
Online ISBN: 978-1-4302-4864-4
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)