It takes the average reader 12 hours and 2 minutes to read Data Analytics Using Open-Source Tools by Jeffrey Strickland
Assuming a reading speed of 250 words per minute. Learn more
This book is about Data Analytics. In that respect, it is like others. What distinguishes it from the rest is the variety of open-source tool applications. This book incorporates the use of R Studio, Python, SAS Studio (University Edition), and KNIME. This book is also about manipulating Big Data. Apache Hadoop on Hortonworks Sandbox is introduced and we manage, move, handle, and transform data using Apache Hive, Apache Spark, MapReduce and TEZ, with terminal shell commands and Ambari. We show you how to set up a virtual machine in Microsoft Azure. We then use the data in later chapters for...
Data Analytics Using Open-Source Tools by Jeffrey Strickland is 706 pages long, and a total of 180,736 words.
This makes it 238% the length of the average book. It also has 221% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 16 hours and 27 minutes to read Data Analytics Using Open-Source Tools aloud.
Data Analytics Using Open-Source Tools 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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