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Spark Programming in Python for Beginners with Apache Spark 3 [Video]
Spark Programming in Python for Beginners with Apache Spark 3 [Video]

Spark Programming in Python for Beginners with Apache Spark 3: Learn Data Engineering using Spark Structured API [Video]

By Scholar Nest
$49.99 $9.99
Video Feb 2022 6 hours 35 minutes 1st Edition
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Product Details


Publication date : Feb 18, 2022
Length 6 hours 35 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803246161
Category :
Concepts :

Key benefits

  • Build your own data engineering solutions using Spark structured API in Python
  • Gain an in-depth understanding of the Apache Hadoop architecture, ecosystem, and practices
  • Learn to apply Spark programming basics

Description

If you are looking to expand your knowledge in data engineering or want to level up your portfolio by adding Spark programming to your skillset, then you are in the right place. This course will help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the concepts needed along the way. In this course, we will start with a quick introduction to Apache Spark, then set up our environment by installing and using Apache Spark. Next, we will learn about Spark execution model and architecture, and about Spark programming model and developer experience. Next, we will cover Spark structured API foundation and then move towards Spark data sources and sinks. Then we will cover Spark Dataframe and dataset transformations. We will also cover aggregations in Apache Spark and finally, we will cover Spark Dataframe joins. By the end of this course, you will be able to build data engineering solutions using Spark structured API in Python. All the resources for the course are available at https://github.com/PacktPublishing/Spark-Programming-in-Python-for-Beginners-with-Apache-Spark-3

What you will learn

Learn Apache Spark Foundation and Spark architecture Learn data engineering and data processing in Spark Work with data sources and sinks Work with data frames and Spark SQL Use PyCharm IDE for Spark development and debugging Learn unit testing, managing application logs, and cluster deployment

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details


Publication date : Feb 18, 2022
Length 6 hours 35 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803246161
Category :
Concepts :

Table of Contents

10 Chapters
1. Apache Spark Introduction Chevron down icon Chevron up icon
2. Installing and Using Apache Spark Chevron down icon Chevron up icon
3. Spark Execution Model and Architecture Chevron down icon Chevron up icon
4. Spark Programming Model and Developer Experience Chevron down icon Chevron up icon
5. Spark Structured API Foundation Chevron down icon Chevron up icon
6. Spark Data Sources and Sinks Chevron down icon Chevron up icon
7. Spark Dataframe and Dataset Transformations Chevron down icon Chevron up icon
8. Aggregations in Apache Spark Chevron down icon Chevron up icon
9. Spark Dataframe Joins Chevron down icon Chevron up icon
10. Keep Learning Chevron down icon Chevron up icon

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