It takes the average reader 10 hours and 30 minutes to read Apache Spark 2: Data Processing and Real-Time Analytics by Romeo Kienzler
Assuming a reading speed of 250 words per minute. Learn more
Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key Features Master the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and Scala Book Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your...
Apache Spark 2: Data Processing and Real-Time Analytics by Romeo Kienzler is 616 pages long, and a total of 157,696 words.
This makes it 208% the length of the average book. It also has 193% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 14 hours and 21 minutes to read Apache Spark 2: Data Processing and Real-Time Analytics aloud.
Apache Spark 2: Data Processing and Real-Time Analytics 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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