How Long to Read Interactive Spark Using PySpark

How Long Does it Take to Read Interactive Spark Using PySpark?

It takes the average reader and 20 minutes to read Interactive Spark Using PySpark by Benjamin Bengfort

Assuming a reading speed of 250 words per minute. Learn more

Description

Apache Spark is an in-memory framework that allows data scientists to explore and interact with big data much more quickly than with Hadoop. Python users can work with Spark using an interactive shell called PySpark. Why is it important? PySpark makes the large-scale data processing capabilities of Apache Spark accessible to data scientists who are more familiar with Python than Scala or Java. This also allows for reuse of a wide variety of Python libraries for machine learning, data visualization, numerical analysis, etc. What you'll learn—and how you can apply it Compare the different components provided by Spark, and what use cases they fit. Learn how to use RDDs (resilient distributed datasets) with PySpark. Write Spark applications in Python and submit them to the cluster as Spark jobs. Get an introduction to the Spark computing framework. Apply this approach to a worked example to determine the most frequent airline delays in a specific month and year. This lesson is for you because... You're a data scientist, familiar with Python coding, who needs to get up and running with PySpark You're a Python developer who needs to leverage the distributed computing resources available on a Hadoop cluster, without learning Java or Scala first Prerequisites Familiarity with writing Python applications Some familiarity with bash command-line operations Basic understanding of how to use simple functional programming constructs in Python, such as closures, lambdas, maps, etc. Materials or downloads needed in advance Apache Spark This lesson is taken from Data Analytics with Hadoop by Jenny Kim and Benjamin Bengfort.

How long is Interactive Spark Using PySpark?

Interactive Spark Using PySpark by Benjamin Bengfort is 20 pages long, and a total of 5,000 words.

This makes it 7% the length of the average book. It also has 6% more words than the average book.

How Long Does it Take to Read Interactive Spark Using PySpark Aloud?

The average oral reading speed is 183 words per minute. This means it takes and 27 minutes to read Interactive Spark Using PySpark aloud.

What Reading Level is Interactive Spark Using PySpark?

Interactive Spark Using PySpark is suitable for students ages 8 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.

Where Can I Buy Interactive Spark Using PySpark?

Interactive Spark Using PySpark by Benjamin Bengfort is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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