Apache PySpark by Example

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Free Online Course: Apache PySpark by Example provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Apache PySpark by Example is taught by Jonathan Fernandes.

via LinkedIn Learning

1-2 hours worth of material

Self Paced

Get up and running with Apache Spark quickly. This practical hands-on course shows Python users how to work with Apache PySpark to leverage the power of Spark for data science.

Syllabus

Introduction
- Apache PySpark
- What you should know
1. Introduction to Apache Spark
- The Apache Spark ecosystem
- Why Spark?
- Spark origins and Databricks
- Spark components
- Partitions, transformations, lazy evaluations, and actions
2. Technical Setup
- Set up the lab environment
- Download a dataset
- Importing
3. Working with the DataFrame API
- The DataFrame API
- Working with DataFrames
- Schemas
- Working with columns
- Working with rows
- Challenge
- Solution
4. Functions
- Built-in functions
- Working with dates
- User-defined functions
- Working with joins
- Challenge
- Solution
5. Resilient Distributed Datasets (RDDs)
- RDDs
- Working with RDDs
Conclusion
- Next steps

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Language

English
Certificate
Certificate Available
Date of Start
31st January, 2019
Price
Free Trial Available
Provider
LinkedIn Learning
Taught By

Jonathan Fernandes
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Apache PySpark by Example

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