It takes the average reader 4 hours and 38 minutes to read Big Data with Hadoop MapReduce by Rathinaraja Jeyaraj
Assuming a reading speed of 250 words per minute. Learn more
The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc. Ultimately, readers will be able to: • understand what big data is and the factors that are involved • understand the inner workings of MapReduce, which is essential for certification exams • learn the features and weaknesses of MapReduce • set up Hadoop clusters with 100s of physical/virtual machines • create a virtual machine in AWS • write MapReduce with Eclipse in a simple way • understand other big data processing tools and their applications
Big Data with Hadoop MapReduce by Rathinaraja Jeyaraj is 269 pages long, and a total of 69,671 words.
This makes it 91% the length of the average book. It also has 85% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Big Data with Hadoop MapReduce aloud.
Big Data with Hadoop MapReduce is suitable for students ages 12 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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