Abstract
In the previous chapter, we focused on a long-term processing job, which runs in a Hadoop cluster and leverages YARN or Hive. In this chapter, I would like to introduce you to what I call the 2014 way of processing the data: streaming data. Indeed, more and more data processing infrastructures are relying on streaming or logging architecture that ingest the data, make some transformation, and then transport the data to a data persistency layer.
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© 2016 Bahaaldine Azarmi
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Azarmi, B. (2016). Streaming Data. In: Scalable Big Data Architecture. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1326-1_4
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DOI: https://doi.org/10.1007/978-1-4842-1326-1_4
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1327-8
Online ISBN: 978-1-4842-1326-1
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