PySpark for Beginners: Take your first steps in developing large-scale distributed data processing applications using Apache Spark and Python [Video]

Name: PySpark for Beginners [Video]
Brand: Packt
SKU: 9781789538762
Price: 137.99 USD
Availability: InStock

By Tomasz Drabas

$137.99

Video Jun 2018 1 hours 34 minutes 1st Edition

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Product Details

Publication date : Jun 28, 2018

Length 1 hours 34 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781789538762

Category :

Programming

Languages :

Python (Intermediate)

Concepts :

Application Development

Tools :

PySpark (Intermediate)

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Key benefits

? Learn why and how you can efficiently use Python to process data and build machine
learning models in Apache Spark 2.0.
? Develop and deploy efficient, scalable real-time Spark solutions.
? Take your understanding of using Spark with Python to the next level with this jump start
guide.

Description

Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This course will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this course, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/PySpark-for-Beginners

What you will learn

1. Learn about Apache Spark and the Spark 2.0 architecture 2. Build and interact with Spark DataFrames using Spark SQL 3. Read, transform, and understand data and use it to train machine learning models 4. Build machine learning models with MLlib and ML