Abstract
There are different ways to step into data visualization, starting with the analytics strategy that should allow us to identify patterns in real time in our data, and also to leverage the already ingested data by using them in continuous processing. This is what we’ll cover in this chapter through the integration of Spark, the analytics in Elasticsearch, and finally visualizing the result of our work in Kibana.
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© 2016 Bahaaldine Azarmi
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Azarmi, B. (2016). Querying and Analyzing Patterns. In: Scalable Big Data Architecture. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1326-1_5
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DOI: https://doi.org/10.1007/978-1-4842-1326-1_5
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1327-8
Online ISBN: 978-1-4842-1326-1
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