By Gomerg M., Schoepfle C. S.

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Count The result should look something like the following console output: 14/01/29 23:28:28 INFO SparkContext: Starting job: count at :17 ... 019227 s res4: Long = 398 Perhaps we want to find the average length of each line in this text file. 06030150753769 Spark operations, in most cases, return a new RDD, with the exception of most actions, which return the result of a computation (such as Long for count and Double for sum in the preceding example). This means that we can naturally chain together operations to make our program flow more concise and expressive.

This could help MovieStream to better understand the drivers of user behavior and might also allow a broader targeting approach where groups are targeted as opposed to (or more likely, in addition to) direct one-to-one targeting with personalization. These methods can also help when we don’t necessarily have labeled data available (as is the case with certain user and content profile data) but we still wish to perform more focused targeting than a complete one-size-fits-all approach. [ 40 ] Chapter 2 Predictive modeling and analytics A third area where machine learning can be applied is in predictive analytics.

6 and higher installed on your system (for example, most Linux and Mac OS X systems come with Python preinstalled). The example program is included in the sample code for this chapter, in the directory named python-spark-app, which also contains the CSV data file under the data subdirectory. 0)). 2f" % totalRevenue print "Most popular product: %s with %d purchases" % (mostPopular[0], mostPopular[1]) If you compare the Scala and Python versions of our program, you will see that generally, the syntax looks very similar.

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