September 2018
Intermediate to advanced
398 pages
9h 43m
English
In the previous chapter, we introduced Spark and obtained BTC/USD transaction data from www.bitstamp.net. Using that data, we can now perform some analysis on it.
First, we are going to query this data using a notebook tool named Apache Zeppelin. After that, we will write a program that receives the live transactions from https://www.bitstamp.net/ and sends them to a Kafka topic as they arrive.
Finally, we will use Zeppelin again to run some streaming analytics queries on the data coming to the Kafka topic.
In this chapter, we will cover the following topics:
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