Abstract
The tools and methods you use to move big data within the Hadoop sphere depend on the type of data to be processed. This is a large category with many data sources, such as relational databases, log data, binary data, and realtime data, among others. This chapter focuses on a few common data types and discusses some of the tools you can use to process them. For instance, in this chapter you will learn to use Sqoop to process relational database data, Flume to process log data, and Storm to process stream data.
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© 2015 Michael Frampton
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Frampton, M. (2015). Moving Data. In: Big Data Made Easy. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0094-0_6
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DOI: https://doi.org/10.1007/978-1-4842-0094-0_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0095-7
Online ISBN: 978-1-4842-0094-0
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