It takes the average reader 2 hours and 55 minutes to read Programming Elastic MapReduce by Kevin Schmidt
Assuming a reading speed of 250 words per minute. Learn more
Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example...
Programming Elastic MapReduce by Kevin Schmidt is 173 pages long, and a total of 43,769 words.
This makes it 58% the length of the average book. It also has 53% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 59 minutes to read Programming Elastic MapReduce aloud.
Programming Elastic MapReduce is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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