It takes the average reader to read Fast Data Processing with Spark - Second Edition by Krishna Sankar
Assuming a reading speed of 250 words per minute. Learn more
Chapter 2: Using the Spark Shell; Loading a simple text file; Using the Spark shell to run Logistic regression; Interactively Loading data from S3; Running Spark shell in Python; Summary; Chapter 3: Building and Running a Spark Application; Building your Spark project with sbt; Building your Spark job with Maven; Building your Spark job with something else; Summary; Chapter 4: Creating a SparkContext; Scala; Java; SparkContext - metadata; Shared Java and Scala APIs; Python; Summary; Chapter 5: Loading and Saving Data in Spark; RDDs; Loading data into an RDD; Saving your data; Summary
Fast Data Processing with Spark - Second Edition by Krishna Sankar is 0 pages long, and a total of 0 words.
This makes it 0% the length of the average book. It also has 0% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes to read Fast Data Processing with Spark - Second Edition aloud.
Fast Data Processing with Spark - Second Edition is suitable for students ages 2 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.
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