Chapter 4: Big Data Applications and Notebooks Available in Amazon EMR
From previous chapters, you got an overview of Amazon EMR (Elastic MapReduce), its architecture, and reference architecture for a few common use cases. This chapter will help you learn more about a few of the popular big data applications and distributed processing components of the Hadoop ecosystem that are available in EMR, such as Hive, Presto, Spark, HBase, Hue, Ganglia, and so on. Apart from that, it will also provide an overview of a few machine learning frameworks available in EMR, such as TensorFlow and MXNet.
At the end of the chapter, you will learn about notebook options available in EMR for interactive development that include EMR Notebook, JupyterHub, EMR Studio ...
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